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7. A method according to claim 1 , further comprising: providing a customize page that, when operated, allow the user to modify an aspect or attribute of the user-subscribed source.

1. A computer-implemented method of providing user-subscribed sources for secure search, comprising: providing to a user a template for crawling a source, the template defining a location of and crawl settings for a target data repository source, the template not having specified security credentials for the source; allowing a user to subscribe to the source using the template; receiving user-specified security credentials from the user and applying the user-specified security credentials to an instance of the template to create a user-subscribed source; authenticating a crawler as the user on the source; crawling, using a processor associated with a computer system, the source as the user template with user-specified security credentials; indexing documents for the user during the crawling in an index; and stamping identification information for the user with each entry in the index such that the associated documents are only available for search in the index by the user.

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13. The method of claim 1 , wherein the input file comprises: defining, from the desired criteria of the interview schedule framework, a set of constraints that define what values can be assigned to the list of variables.

17. The method of claim 13 , wherein the set of constraints further comprise one or more of the following: a fourth constraint to enforce an exact start time and duration of each of the plurality of interview sessions; a fifth constraint to enforce that no two interview sessions of the plurality of interview sessions overlap; a sixth constraint to enforce that the plurality of interview sessions start at a correct modulo; a seventh constraint to enforce that each interviewer role must have exactly one interviewer assignment; an eighth constraint to enforce that each available interview location role must have exactly one interview location assignment; a ninth constraint to enforce that a specific interviewer be assigned to a specific interview session; a tenth constraint to enforce an order on duplicate interview sessions so as to avoid duplicate interview schedule results; or an eleventh constraint to enforce a penalty when there is a change of interview locations between any two of the plurality of interview sessions.

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4. The method of claim 3 , further comprising: the monitoring comprising monitoring a behavior of a first avatar of the collective plurality of avatars; the determining an amount of compliance comprising determining a first amount of compliance of the monitored first avatar with the rule; the comparing the compliance amount comprising comparing the first compliance amount with the violation threshold; and taking a rule enforcement action against the first avatar if the first amount of compliance exceeds the threshold.

5. The method of claim 4 , further comprising selecting each of the collective plurality of avatars as a function of a historic behavior data of each relevant to the rule.

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1. A method comprising: receiving an input query from a computing device; comparing words in the input query to keywords, the keywords being associated with content items that can be provided to computing devices; generating, based on the comparing, matching scores indicating how well the input query matches keywords for different content items; obtaining geographies associated with the computing device and associated with the content items that can be provided to computing devices; identifying geographic matches between the computing device and at least some of the content items; including, in an auction, content items having matching scores that exceed a threshold and that match a geography of the computing device, the auction for receiving bids from content providers to determine which of the content items in the auction to output in response to the input query; determining, based at least in part on bids provided in the auction, candidate content items for output in response to the input query; obtaining geographic areas associated with the candidate content items; selecting a candidate content item having a smallest geographic area; and outputting the selected candidate content item in response to the input query.

4. The method of claim 1 , wherein a geographic area of a first candidate content item is larger than the geographic area of a second candidate content item, the second candidate content item being the selected candidate.

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10. The system of claim 9 , wherein the plurality of image lines includes a plurality of vertical linelets and a plurality of horizontal linelets, each vertical linelet being a skeletal line through an upright portion of a connected component, each horizontal linelet being a regression line through a center of a set of adjacent connected components.

9. The system of claim 8 , wherein rectifying each text image of the plurality of text images comprises: determining a plurality of connected components in the text image, each connected component being a filled portion of a symbol; generating a plurality of image lines in the text image including vertical linelets and horizontal linelets based on the plurality of connected components; calculating a horizontal vanishing point and a vertical vanishing point based on the plurality of image lines; and applying a geometric formula to the first and second vanishing points to restore parallel lines in the text image.

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1. A computer-implemented method for executing business rules, the method comprising: providing a unified rule that encapsulates a goal-oriented rule with triggering information selected from dependencies of the goal oriented rule; and eagerly executing the unified rule using a rule engine, in response to changes in data specified by the dependencies, wherein the rule engine is selected from a forward-chaining rule engine and a hybrid rule engine.

7. The computer-implemented method of claim 1 , further comprising: determining, based on the eager execution of the unified rule, a business measure.

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7. The method of claim 1 , further comprising receiving configuration information that defines a set of shared resources from among the shared resources of the source PDF document.

1. A method for improved Portable Document Format (“PDF”) document archiving, the method comprising: scanning by use of a processor, a source Portable Document Format (“PDF”) document for a shared resource, the source PDF document comprising a plurality of records, the shared resource comprising a common resource referenced by way of a resource pointer associated with a record of the source PDF document; copying the shared resource to a resource group associated with the source PDF document; short-circuiting a link between content for the shared resource and the resource pointer in each record that points to the shared resource, wherein short-circuiting a link further comprises modifying the resource pointer to point to the copied shared resource in the resource group and wherein short-circuiting a link between the shared resource and the resource pointer further comprises removing content for the shared resource from the source PDF document; and extracting a record from the source PDF document, the extracted record void of the content for the shared resource in response to the short-circuited link.

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3. The method of claim 1 , wherein the second candidate string is further determined based at least in part on both a language model and a spatial model.

1. A method comprising: displaying, by a computing device, a plurality of alphabet characters and a spacebar; receiving, by the computing device, an indication of a first gesture that selects a first set of alphabet characters from the plurality of alphabet characters, wherein the first gesture does not select the spacebar; determining, by the computing device and based at least in part on the first set of alphabet characters, a first candidate string; displaying, by the computing device, the first candidate string; and after receiving the indication of the first gesture, after displaying the first candidate string, and prior to receiving any indications of gestures that select the spacebar: receiving, by the computing device, an indication of a second gesture that selects a second set of alphabet characters from the plurality of alphabet characters, wherein the second gesture is disjoint from the first gesture and does not select the spacebar; determining, by the computing device, whether the second set of alphabet characters is included in the first candidate string; responsive to determining that the second set of alphabet characters is included in the first candidate string, continuing, by the computing device, the displaying of the first candidate string; and responsive to determining that the second set of alphabet characters is not included in the first candidate string: determining, by the computing device, a second candidate string that includes the second set of alphabet characters; and displaying, by the computing device, the second candidate string and one or more space characters that separate the first candidate string from the second candidate string.

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12. The computer program product of claim 11 , wherein the code is further configured to cause to processor to execute steps comprising: receiving feedback indicating an interaction of the user with a video from at least one of the first personal content stream and second personal content stream provided to the user.

11. A computer program product comprising a non-transitory computer-readable storage medium storing program code configured to cause a processor to execute steps comprising: accessing a profile of the user, the profile having a plurality of topics describing interests of the user; selecting a first set of stream topics for a first personal content stream and a second set of stream topics for a second personal content stream based upon the plurality of topics in the profile, each of the stream topics associated with a stream topic strength (STS), the STS for each of the stream topics representing a degree of association between the user and the stream topic for a given personal content stream, wherein a stream topic included in both the first set of stream topics and the second set of stream topics is associated with a first STS for the first personal content stream and a second STS for the second personal content stream; selecting a plurality of videos for inclusion in the first personal content stream and the second personal content stream for the user, each selected video for the first personal content stream associated with one of the stream topics included in the first set of stream topics and selected for inclusion in the first personal content stream based on the STS for the stream topic associated with the selected video, and each selected video for the second personal content stream associated with one of the stream topics included in the second set of stream topics and selected for inclusion in the second personal content stream based on the STS for the steam topic associated with the selected video; and providing the first personal content stream and the second personal content stream to the user.

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35. The computer system of claim 23 wherein the first management element definition context-based filter is operable to filter out child types while allowing parent types to pass through.

23. A computer system comprising: a display; a central processing unit; computer memory; a user interface service stored in computer memory and executable using the central processing unit, the user interface service comprising: a set of management element definitions, the management element definitions comprising respective metadata indications comparable against a current context to determine whether a respective user interface element definition is to be chosen for display and further comprising logic for retrieving data to be displayed, the respective user interface element definition comprising trouble ticket functionality for a managed item; and a first management element definition context-based filter operable to filter before a query to a management element store; a second management element definition context-based filter operable to filter after a query to the management element store, the second management element definition context-based filter being associated with the management element store; a third management element definition context-based filter operable to filter after receiving a definition of a user interface surface, the third management element definition context-based filter being associated with the definition of the user interface surface; wherein the first, second, and third management element definition context-based filters are further operable to compare the current context against the respective metadata indications of the set of management element definitions to determine whether the respective user interface element definition is to be chosen for display; wherein the user interface service supports a hierarchy of user element definition types and wherein the first, second, and third management element definition context-based filters are operable to filter out parent user element types while allowing child user element types to pass through for display.

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13. The computer system of claim 10 , wherein the executable code are further effective to cause the one or more processors to: for a current node of the plurality of nodes of the second taxonomy, calculate a category depth score for the current node and the selected node of the filtered set of nodes; and merge the current node of the plurality of nodes of the second taxonomy with the selected node of the filtered set of nodes if a combined score of the edit distance, the lineage score, and the category depth score for the selected node of the filtered set of nodes is both: the greatest combined score for the nodes of the filtered set of nodes; and the combined score for the selected node of the filtered set of nodes satisfies the combined score threshold condition.

14. The computer system of claim 13 , wherein the category depth score for the current node of the plurality of nodes of the second taxonomy and a given node of the filtered set of nodes is computed according to N c /(N T −1), where Nc is a number of nodes in common of the one or more lineages of the current node of the plurality of nodes of the second taxonomy and the given node and N T is a total number of nodes in a lineage of either the current node of the plurality of nodes of the second taxonomy or the given node of the filtered set of nodes.

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7. The method according to claim 1 , wherein the first cryptographic function is a one-way function.

1. A method for decrypting encrypted audio/video content in a decoder comprising at least a descrambler and a security module, said decryption being carried out by the descrambler using at least one final control word, said method comprising: receiving, by the descrambler, the encrypted audio/video content; converting, by the descrambler, one of at least two different control words to a first final control word using at least a first cryptographic function, the one of the at least two different control words being transferred to the descrambler upon being selected by the security module based on at least a first of an internal setting allowing the security module to be uniquely identified, said cryptographic function yielding the first final control word for either of the at least two different control words; using, by the descrambler, the first final control word to decrypt at least a first part the encrypted audio/video content; converting, by the descrambler, a further control word of a further set of at least two different control words to a further final control word using at least the first cryptographic function, the further control word being transferred to the descrambler upon being selected by the security module based on at least a second part of the internal setting, the second part of the internal setting being different from the first part of the internal setting, said first cryptographic function yielding the further final control word for either of the two different control words of the further set of at least two different control words; and using, by the descrambler, the further final control word to decrypt at least a further part of the encrypted audio/video content.

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15. The computer system of claim 9 , wherein the instructions are further operable to: parse the integration description to determine parameterized information, the parameterized information generated based on the integration design being connected to the first port and the service element being connected to the second port; and adapt the application to extend it to use the service based on the parameterized information.

9. A computer system comprising: one or more computer processors; and a computer readable storage medium containing instructions that when executed by the one or more computer processors are operable to: receive an application extensibility description for an application, the application extensibility description including a set of application extension points; receive a service description for a service, the service description including a set of service elements; receive a specification of an integration design comprising a plurality of atomic adaptation patterns to link particular service elements in the service description to particular application extension points in the application extensibility description, wherein the plurality of atomic adaptation patterns define a plurality of steps for integrating the service into a plurality of application layers of the application, the application layers comprising a presentation layer, a business process layer, a service layer, and a configuration layer, and wherein each atomic adaptation pattern comprises one or more ports coupled to particular service elements in the service description and one or more ports coupled to particular application extension points in the application extensibility description; generate an integration description based on the integration design, wherein the integration description is used to execute integration of the application with the service; generate a query for a recommendation for connecting an application extension point in the application extensibility description to a service element in the service description based on a context, the context being a state of the adaption/extension of the service into the application; search a semantic model to determine a search result indicating a recommended connection of an application extension point in the application extensibility description to a service element in the service description based on the query; and change the integration design based on the recommended connection.

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6. The method of claim 1 , further comprising, for each removed term having any address term synonyms, adding the address term synonyms to a repository of address term synonyms for the geocoding system.

1. A method performed by one or more computers, the method comprising: determining that a plurality of addresses cannot be geocoded by a geocoding system, wherein each address includes a plurality of terms; generating a plurality of variants of the addresses that can be geocoded by the geocoding system, wherein each variant of a respective address lacks a removed term included in the respective address; receiving a plurality of name terms for each variant provided by the geocoding system; associating each removed term with name terms received for all variants that lack the removed term, including determining, for each associated name term of each removed term, a count of the number of variants for which the geocoding system provided the name term; determining, for each associated name term of each removed term, whether the name term is an address term synonym for the removed term based at least in part on the count of the number of variants.

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9. A method as claimed in claim 8 , wherein the listing order provides an indication of an interesting cross-section of a category of information.

8. A method as claimed in claim 1 , wherein the listing of any one or combination of facets and facet values is ordered based on relevance to the data set.

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12. A computer-implemented system for segregating data and code in a dynamic language, wherein an environment and the segregated data and code operating in the environment are controlled using a common dynamic language, the system comprising: a non-transitory computer-readable medium, encoded with instructions in the common dynamic language, which when executed by one or more processors, causes the system to: implement the environment in the common dynamic language, the environment including a framework, the framework including a plurality of properties; identify a visible framework property that is visible to applications; identify an invisible framework property that is not visible to the applications; and implement a first application in a first sandbox within the environment, wherein the first application is implemented in the common dynamic language, wherein the first application is unable to access the invisible framework property, and wherein the first application is able to access the visible framework property.

13. The system of claim 12 , wherein the invisible framework property has a name, wherein the first application includes a first application property, wherein the first application property has a name that conflicts with the name of the invisible framework property.

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15. The method of claim 13 , wherein said matching semantic patterns of said permuted mapping rules to said extracted semantic information comprises mapping a single source code operation to more than one machine instruction.

13. A computer implemented method for generating compiler code selector rules from an architecture description, the compiler code selector rules for use in a compiler that translates source code into machine instructions of a target processor, the method comprising: generating a plurality of semantic statements from semantic information included in a target processor architecture model of a target processor, the target processor architecture model described in a processor architecture description language, said semantic information describing an instruction set, wherein said target processor architecture model comprises semantic information and syntax information for the machine instructions, and description of non-terminals of the target processor; associating assembly syntax with semantic information; applying, to said semantic information, at least one semantic transformation from a library of pre-defined semantic transformations to generate a single semantic statement from a sequence of at least two of said plurality of semantic statements; accessing basic rules having tree patterns that map from source code operations to semantic patterns; permuting said basic rules based on said non-terminals to form set of permuted mapping rules; and matching semantic patterns of said permuted mapping rules to said semantic statements to form a description of said complier code selector rules comprising mappings from source code operations to associated assembly syntax; and mapping a sequence of two or more source code operations to a single machine instruction based on the accessed rules that matches from semantic statements to semantic patterns.

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13. At least one non-transitory computer-readable storage medium having encoded thereon executable instructions that, when executed by at least one processor, cause the at least one processor to carry out a method comprising: generating feedback information regarding a speaking performance of a person based at least in part on analyzing audio data of a sample of speech of the person and/or text corresponding to the sample of the speech of the person, via automatic speech recognition; and outputting, for display in a user interface, the text corresponding to the speech and the feedback information, wherein outputting the feedback information comprises outputting the feedback information for display as annotations to the text in the user interface, wherein annotations are displayed in the user interface in a manner distinct from display of the text.

14. The at least one non-transitory computer-readable storage medium of claim 13 , wherein analyzing the audio data and/or the text comprises performing an analysis selected from the group consisting of: textual analytics of the text, capturing timing-related information about the speech from the audio data, and capturing volume data for the speech from the audio data.

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23. The non-transitory computer-readable medium of claim 17 , wherein: the first, second, and third plurality of integers are 8-bit integers.

24. The non-transitory computer-readable medium of claim 23 , wherein the converting content of the at least a portion of the first combined packets into the first plurality of integers comprises converting bitwise the content of the at least a portion of the first combined packet into 8-bit integers.

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11. The bio-item searching apparatus according to claim 1 , wherein the output unit includes: a searching result order output unit that ranks the candidate bio-item or a related bio-item to be output to the output device, based on the correlation score, the co-occurrence keyword correlation score, or a integrated correlation score.

1. A bio-item searching apparatus that searches for a target bio-item with a keyword input by a user, comprising a processor, a storage device, and an output device, wherein the storage device includes: a bio-item literature set storage unit that stores one or more bio-item literature sets having a literature in which a bio-item name is described for each of a plurality of bio-items, and an all-literature set storage unit that stores an all-literature set having all literatures included in each of the bio-item literature sets, and the control processor includes: a number-of-literatures acquiring unit that searches each of the bio-item literature sets with the keyword to acquire a number-of-literatures, Nh, including the keyword for each of the bio-items, and searches the all-literature set with the keyword to acquire a number-of-literatures including the keyword, Nk; a candidate bio-item selecting unit that selects the bio-items in which the number-of-literatures Nh is 1 or larger as candidate bio-items; a table creating unit that creates, for each of the candidate bio-items, a number-of-literatures table constituted by a) the number-of-literatures Nh, b) a number-of-literatures each not including the keyword and including the bio-item name, the number-of-literatures in the bio-item literature set of the bio-item minus Nh; c) a number-of-literatures each including the keyword and not including the bio-item name, Nk−Nh, and d) a number-of-literatures each not including the keyword and not including the bio-item, the total number-of-literatures in the all-literature set minus the number-of-literatures in the bio-item literature set minus Nk+Nh; a correlation score calculating unit that calculates a correlation score between the bio-item and the keyword based on a statistical calculation by using the number-of-literatures table for each of the candidate bio-items; and an output unit that outputs the candidate bio-items to the output device based on the correlation score calculated by the correlation score calculating unit.

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1. A data search system comprising: a data acquisition means for acquiring results of a data search based on certain search criteria; an image processing means for representing, as a set for each of said search criteria, the results of said data search acquired by said data acquisition means and converting each set to an n-polygonal image, where n is a natural number, and having an area corresponding to the magnitude of element count of each set, wherein said image processing means derives said n-polygonal image by repeating a convergent calculation for drawing under certain restricting parameters, wherein said convergent calculation is initiated under restricting parameters where a convex polygon appears, and if said convergence does not appear as a convex polygon after repeating a certain number of times, the restricting parameters are switched so that a concave polygon appears; and a display control means for causing each n-polygonal image converted by said image processing means to be displayed on a predetermined display device, wherein each of said multiple n-polygonal images is displayed within the same display region while maintaining a relative relationship with other n-polygonal images based on said search criteria.

6. A data search system according to claim 1 , further comprising: an image storage means for storing said n-polygonal image converted as the data search results, where only a portion of said search criteria differs, according to said search criteria that are commonly shared by the rest of said search criteria, wherein said image processing means causes multiple n-polygonal images that vary with changes in a portion of said search criteria to be displayed within the same display region of said display device.

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9. The method according to claim 8 , wherein the data sources are distributed among a set of autonomous organizations comprising at least first and second organizations, wherein the user submitting the query belongs to the first organization, and wherein determining the query plan comprises selecting, responsively to the performance characteristics, at least one of the data sources of the second organization for use in responding to the query.

8. The method according to claim 1 , and comprising: collecting information regarding a topology and performance characteristics of the data sources; receiving a query from a user regarding the data; determining a query plan responsively to the query and to the information regarding the topology and performance characteristics; and generating a response to the query in accordance with the query plan.

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7. The computer-readable storage media of claim 6 , further comprising: detecting a cessation of the handwriting input; and decreasing the area of the writing panel from the second area to the first area to reveal the function key.

8. The computer-readable storage media of claim 7 , further comprising: observing a time-out of a predetermined amount of time between the detecting the cessation of the handwriting input and the decreasing the area from the second area to the first area.

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8. The system of claim 7 , wherein the results comprise semantic-classification results from processing the one or more natural language inputs with respect to the data sources stored on the client device.

7. A system comprising: at least one processor; and a memory storing instructions that when executed by the at least one processor cause the system to: configure a client device to: process one or more natural language inputs with respect to data sources stored on the client device to determine a first set of interpretation candidates for the one or more natural language inputs; and to communicate, to the system, results from processing the one or more natural language inputs with respect to the data sources stored on the client device; determine, based on the results from processing the one or more natural language inputs with respect to the data sources stored on the client device, a list of possible interpretation candidates for the one or more natural language inputs, the list comprising a second set of interpretation candidates for the one or more natural language inputs; rank the list of possible interpretation candidates; prune the list of possible interpretation candidates; constrain, based on pseudo data corresponding to the data sources located on the client device, the pruning to prevent at least one interpretation candidate of the second set of interpretation candidates from being pruned from the list of possible interpretation candidates; and communicate, to the client device, the second set of interpretation candidates for the one or more natural language inputs, for a final output interpretation of the one or more natural language inputs by the client device that comprises ranking a plurality of interpretation candidates comprising the first set of interpretation candidates and the second set of interpretation candidates.

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22. The system of claim 18 , wherein the operations further comprise: identifying a search result access log identifying search queries and corresponding snippets, each record in the search result access log identifying a respective stored search query and a corresponding snippet, the snippet of a respective stored search query being a portion of content from a document accessed by a user, the document having been presented to the user as a search result in response to receiving the respective stored search query; and building a translation model trained on the search queries and the corresponding snippets including using the search queries from the search result access log as a source language for the translation model and the corresponding snippets as a target language for the translation model, wherein using statistical machine translation to translate the initial search query into a translated search query comprises providing the initial search query as input to the translation model trained on the search queries and the corresponding snippets and receiving the translated search query as output from the translation model trained on the search queries and the corresponding snippets.

23. The system of claim 22 , wherein the operations further comprise: filtering records from the search result access log based on respective information associated with each record, the respective information being one or more of: a position of the document with respect to other documents presented as search results to the user; an amount of time elapsed between having provided the search result to the user and the user accessing the document; and an amount of time elapsed between the user having accessed the document and the user performing a subsequent operation.

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33. The device defined in claim 6 wherein said printing mechanism further comprises: a platen for advancing said paper tape; type bars connected to said keyboard such that one or more of said type bars are urged toward said platen in response to one or more of said keys being pressed; an advancing mechanism for advancing an inked ribbon over said paper tape on said platen such that, when said type bars are urged toward said platen, said type bars urge said inked ribbon into contact with said paper tape at said platen, thereby impressing an ink symbol on said paper tape.

6. A shorthand machine for recording and translating shorthand notes including a non-redundant binary tree look-up table comprising: a keyboard having keys representing letter symbols of a language; conversion means connected to said keyboard for generating a particular electric shorthand signal for each key or combination of keys pressed by an operator; a look-up table having a plurality of entries for electronically storing a translation dictionary; said look-up table further having main level and sublevel memory locations for storing said electric shorthand signals representing groups of one or more entry symbols, and electric signals representing groups of one or more translation symbols corresponding to the groups of entry symbols, said main level and sublevel memory locations containing no more than one of the groups of entry symbols; control means connected to said conversion means and to said look-up table; said control means capable of searching said look-up table entries to locate and read a particular electric translation signal corresponding to the particular electric shorthand signal generated at said conversion means; and display means connected to said control means for converting a predetermined number of said read translation signals into groups of display characters representing language words and displaying said words on a plurality of lines.

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12. The audio analysis system according to claim 11 , wherein the first terminal apparatus further includes a third audio acquisition device disposed at a position where a sound pressure of an utterance-based sound that arrives from the mouth of a user differs from a sound pressure of the utterance-based sound that arrives at the first audio acquisition device, the third audio acquisition device acquiring the sound and converting the sound into a third audio signal, wherein the first discriminator discriminates between a portion that corresponds to an utterance of the user and a portion that corresponds to an utterance of another person who is different from the user, the portions being contained in the first audio signal, on the basis of a result of comparing the first audio signal with the third audio signal, and wherein the first utterance feature detector detects an utterance feature of the user or the other person, on the basis of the portion that corresponds to the utterance of the user or the portion that corresponds to the utterance of the other person which is contained in the first audio signal or the third audio signal.

11. An audio analysis system comprising: a first terminal apparatus that is to be worn by a first user; a second terminal apparatus that is to be worn by a second user; and a host system that acquires information from the first terminal apparatus and the second terminal apparatus, wherein the first terminal apparatus includes a first audio acquisition device that acquires a sound and converts the sound into a first audio signal, the sound containing an utterance of the first user and an utterance of another person who is different from the first user, a first discriminator that discriminates between a portion that corresponds to the utterance of the first user and a portion that corresponds to the utterance of the other person which are contained in the first audio signal, a first utterance feature detector that detects a first utterance feature of the first user, on the basis of the portion that corresponds to the utterance of the first user or the portion that corresponds to the utterance of the other person which is contained in the first audio signal, and a first transmission unit that transmits to the host system first utterance information that contains at least a discrimination result obtained by the first discriminator and a detection result regarding the first utterance feature obtained by the first utterance feature detector, wherein the second terminal apparatus includes a second audio acquisition device that acquires a sound and converts the sound into a second audio signal, a second discriminator that discriminates between a portion that corresponds to an utterance of the second user and a portion that corresponds to an utterance of another person who is different from the second user, the portions being contained in the second audio signal, a second utterance feature detector that detects a second utterance feature of the second user, on the basis of the portion that corresponds to the utterance of the second user or the portion that corresponds to the utterance of the other person which is contained in the second audio signal, and a second transmission unit that transmits to the host system second utterance information that contains at least a discrimination result obtained by the second discriminator and a detection result regarding the second utterance feature obtained by the second utterance feature detector, and wherein the host system includes a reception unit that receives the first utterance information and the second utterance information that have been transmitted from the first and second transmission units, respectively, a conversation information detector that detects a first part corresponding to a first conversation between the first user and the other person who is different from the first user from the first utterance information that has been received by the reception unit, and detects portions of the first part of the first utterance information that correspond to the first user and the other person who are related to the first conversation, and that detects a second part corresponding to a second conversation between the second user and the other person who is different from the second user from the second utterance information that has been received by the reception unit, and detects portions of the second part of the second utterance information that correspond to the second user and the other person who are related to the second conversation, wherein the conversation information detector determines whether or not the first conversation and the second conversation are the same conversation between the first user and the second user on the basis of a comparison of the portions of the first part of the first utterance information that correspond to the first user and the other person who is different from the first user with the portions of the second part of the second utterance information that correspond to the second user and the other person who is different from the second user, a relation information holding unit that holds relation information on a relation between a predetermined emotion name and a combination of a plurality of utterance features of a plurality of speakers who participated in a past conversation, an emotion estimator that compares, with the relation information, a combination of the first and second utterance features related to the conversation between the first user and the second user, and estimates an emotion of at least one of the first user and the second user, and an output unit that outputs information that is based on an estimation result obtained by the emotion estimator.

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14. The machine-readable medium of claim 13 wherein said threshold is a first threshold and wherein said instructions further cause said computing device to, if the collective user competency measure for all question item sets meets or exceeds said first threshold but the collective user competency measure any question item set is below a second threshold that is higher than said first threshold, select for repeated presentation the question item set whose collective user competency measure is lowest.

13. The machine-readable medium of claim 9 wherein said instructions further cause said computing device to perform said calculating of a collective user competency measure for other question item sets and to select for repeated presentation the question item set whose collective user competency measure is closest to but below a threshold competency measure.

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1. A method for generating test data, the method comprising: a computer receiving a corpus of sample documents associated with a knowledge domain, wherein each sample document of the corpus includes unstructured information; the computer identifying a sample document of the corpus of sample documents; the computer identifying that the knowledge domain of the sample document is associated with a database, wherein the database contains resources relevant to the knowledge domain including, at least, a plurality of annotators associated with the knowledge domain and a knowledge domain specific dictionary; the computer annotating the sample document using the plurality of annotators associated with the knowledge domain to produce annotations associated with the sample document; the computer determining a plurality of patterns in the sample document based on the annotations, wherein each pattern comprises a combination of annotations in a sequence; the computer populating a template using the at least one of the plurality of patterns; and the computer varying parts of the at least one of the plurality of patterns in the template to generate test data, wherein varying the at least one of the plurality of patterns comprises identifying portions of data from the knowledge domain specific dictionary corresponding to an annotation of the at least one of the plurality of patterns and inserting a portion of data from the knowledge domain specific dictionary corresponding to the annotation into the at least one of the plurality of patterns based on the sequence of the combination of annotations.

2. The method of claim 1 , further comprising: the computer maintaining an observed occurrence count of each determined pattern in the corpus of sample documents.

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17. The system of claim 10 , where the expected co-occurrence rate of the related phrase and the first phrase is a function of a number of documents in the document collection that include the first phrase and a number of documents in the document collection that include the related phrase, and the actual co-occurrence rate being a function of a number of times the first phrase appears within a threshold number of words of the related phrase in the document collection.

18. The system of claim 17 , wherein the threshold is about 100.

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12. The method of claim 9 , wherein the interactive toy is a wearable device having electronic components therein for activating an interactive program to perform the method in response to received audio, the components including a processor, a memory with audio files and programs stored therein, a power supply, and a speaker.

9. An interactive toy that performs a method for interacting with a user, the method comprising: activating a first state in which said toy is configured to receive a first plurality of audible sounds corresponding to text read aloud from a book containing a triggering phrase, wherein the triggering phrase is a combination of words corresponding to text from the book; receiving, through a microphone embedded in the toy, the first plurality of audible sounds; processing a signal associated with the first plurality of audible sounds to detect the triggering phrase; detecting that the triggering phrase was read aloud by the user reading the book; upon detecting that the triggering phrase was read aloud by the user reading the book, switching to a second state in which the toy is configured to receive a second plurality of audible sounds; receiving, through the microphone, the second plurality of audible sounds; processing a signal associated with the second plurality of audible sounds to detect one or more single triggering terms, wherein the one or more single triggering terms are predetermined words or commands related to the book; detecting that the one or more single triggering terms spoken by the user reading the book; and upon detecting that the triggering term was spoken by the user reading the book, activating a response sequence that supplements a story told in the book, wherein the response to the triggering term is only activated when the toy is in the second state and the triggering term is detected within a predetermined amount of time after detecting the triggering phrase and wherein the response sequence is determined from a pre-programmed response program.

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10. The computer program product of claim 8 , wherein the interactions are through an API provided to third-party website.

8. The computer program product of claim 1 , wherein the preferences include at least one of personal information and topical information related to interactions of the user.

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10. A method of executing an application platform application on a computing device, comprising: creating a computing environment using a processor configured by an operating system on the computing device; and executing an application platform application within the computing environment to generate a runtime environment for cross-platform applications to execute non-natively on the computing device, the application platform application comprising: a rendering engine process configured to: render pages within the computing environment created by the operating system by interpreting instructions written in a rendering language; and implement a virtual machine configured to execute instructions written in a scripting language; and an integration process that enables instructions executing within the virtual machine to launch natively implemented applications within the computing environment, where the integration process enables instructions executing within the virtual machine to retrieve information from the computing environment of the computing device; scanning the computing device to retrieve information related to at least one specific native application installed on the computing device and at least one specific non-native application using the computing device; integrating at least one cross-platform application into the computing environment of the computing device by providing at least one launch point for the cross-platform application within the computing environment using the computing device; injecting at least a portion of the retrieved information into the instructions written in the rendering language from the pop up page file using the application platform application, where the retrieved information includes at least one launch point for a specific natively implemented application and at least one launch point for a specific non-natively implemented application; rendering instructions written in the rendering language contained within a pop up page file that is part of the application platform application to create a pop up page within the computing environment of the computing device using the rendering engine process, where the pop up page comprises the at least one of the non-native launch point and at least one of the native launch point; and launching a natively implemented application using the integration process in response to a user instruction received via interaction with the one or more launch points within the rendered pop up page.

15. The method of claim 10 , further comprising retrieving information from the application runtime environment that is displayed when the pop up page is rendered by the rendering engine process by executing executable instructions within the pop up page file within the virtual machine.

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6. The communication device of claim 1 , wherein the processor is configured to employ a loiter function to queue up multiple cell phones held by multiple guests.

1. A multi-language attraction communication device wherein a guest selects a particular language file corresponding to an audio file coordinated with at least one entertainment activity, the communication device comprising: a memory for storing multiple language files for at least one entertainment activity; and a processor being configured to access the memory, in response to a selected language file for the at least one entertainment activity, and to communicate the language file to a cellular phone operated by the guest for review by the guest in real time coordination with the at least one entertainment activity, wherein the processor is further configured to communicate with a private exchange, the private exchange being in communication with a cellular provider and the cellular phone operated by the guest.

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29. A method comprising: creating, by a computer-based service, a plurality of associations, each of which associates (a) occurrence of one or more application events from a plurality of application events, with (b) one or more users from a plurality of users; enabling, by the computer-based service, each user of the plurality of users to interact, over a network, with one or more applications; monitoring, by the computer-based service, for occurrence of said plurality of application events; wherein each application event, from the plurality of application events, corresponds to interaction with at least one of the one or more applications, by at least one user from the plurality of users; in response, at least in part, to occurrence of a first application event from the plurality of application events, the computer-based service sending first information about the first application event to each user of a plurality of second users, from the plurality of users; wherein the first information includes one or more links that provide access to one or more views that are associated with the first application event; wherein the first application event occurred based, at least in part, on interaction of a first user, from the plurality of users, with a given view from the one or more views; wherein sending the first information includes sending the first information to at least one user of the plurality of second users, based, at least in part, on a first association of the plurality of associations; wherein the step of creating includes creating the first association based on the computer-based service receiving, from the at least one user of the plurality of second users, an expression of interest in interactions of the first user; receiving, by the computer-based service, a comment from a particular second user, of the plurality of second users; wherein the first user is a different user than the particular second user; wherein the comment is entered in a text entry interface that is related to the first information; and the computer-based service sending the comment, to each user of the plurality of second users other than the particular second user, to cause display of the comment, in relation to the first information, to the each user of the plurality of second users other than the particular second user.

32. The method of claim 29 wherein the first association associates the at least one user of the plurality of second users with occurrence of application events, of the plurality of application events, that correspond to interactions of the first user.

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20. The non-transitory computer-readable storage medium of claim 19 , further comprising instructions for: reconstructing one or more portions of the first set of compressed documents using the first set of recovered tokens.

19. The non-transitory computer-readable storage medium of claim 16 , further comprising instructions for: decompressing at least a portion of the first set of compressed documents to recover a first set of tokens, wherein the first set of recovered tokens are associated with positions in the first set of compressed documents corresponding to the first set of document identifiers.

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1. A computer-implemented method, comprising: accessing a translation-capable XML document, where the translation-capable XML document stores translatable data; establishing a session language identifier; and providing a virtual view of the translation-capable XML document, where the virtual view is determined, at least in part, by the session language identifier, and where the virtual view presents one or more of, the translatable data, and a translation for the translatable data, and where the providing includes controlling database query rewrite logic to rewrite a non-translation-capable query expression to produce a translation-capable query expression and providing the translation-capable query expression to an XML database logic, where the non-translation-capable query expression is part of a query to retrieve information from the translation-capable XML document; wherein producing the translation-capable query expression includes receiving a non-translation-capable query that includes the non-translation-capable query expression and rewriting the non-translation-capable query expression to be translation-capable by adding at least a predicate to the non-translation-capable query where the predicate includes attributes for translating portions of the translation-capable query expression or portions of the translation-capable XML document.

5. The method of claim 1 , where establishing the session language identifier includes receiving the session language identifier from an internationalized application that can be dynamically configured.

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5. An electronic device for receiving an account identifier, comprising: display; one or more processors; and memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for: displaying a user interface that includes an area for receiving an account identifier identifying an account of an account holder, wherein the account identifier includes multiple sets of characters that do not overlap with one another; displaying a first set of candidates for a first set of characters of the multiple sets of characters, each candidate in the first set of candidates comprising a plurality of characters; detecting a selection, by a user of the electronic device, of a first candidate of the first set of candidates for the first set of characters; in response to detecting the selection of the first candidate of the first set of candidates for the first set of characters, displaying characters in the first candidate in the area for receiving an account identifier; subsequent to detecting the selection of the first candidate of the first set of candidates for the first set of characters, determining a current geographical location of the electronic device; displaying a second set of candidates for a second set of characters of the multiple sets of characters, each candidate in the second set of candidates comprising a plurality of characters and corresponding to a respective geographical location selected based on the determined current geographical location of the electronic device, wherein the candidates in the second set of candidates are ranked according to their respective distances from the determined current geographical location and displayed according to the ranking; detecting a selection by the user of a second candidate of the second set of candidates for the second set of characters; in response to detecting the selection of the second candidate of the second set of candidates for the second set of characters, displaying characters in the second candidate in the area for receiving an account identifier adjacent to display of characters in the first candidate in the area for receiving an account identifier; subsequent to detecting the selection of the second candidate of the second set of candidates for the second set of characters, determining that the electronic device has received user input for all but a last set of characters; in accordance with a determination that the electronic device has received user input for all but the last set of characters; ceasing to display candidates for any set of characters of the multiple sets of characters so as to require manual entry of the last set of characters, wherein the last set of characters comprises a plurality of characters; receiving manual entry of each respective character in the last set of characters; and displaying, in the area for receiving an account identifier, manually entered characters in the last set of characters; subsequent to receiving manual entry of each respective character in the last set of characters, receiving, from the user, a confirmation instruction; and in response to receiving the confirmation instruction, sending a request to perform a transaction using the account identified by the account identifier to an account management system that manages the account, wherein the request includes the account identifier and individual information of the user, and wherein the account management system is configured to authenticate the transaction in accordance with a determination that the individual information matches information of the account holder.

6. The device of claim 5 , wherein the one or more programs include instructions for: prior to detecting the selection of the first candidate of the first set of candidates: receiving a manual input of one or more characters; and replacing the display of the first set of candidates with a subset of the first set of candidates, wherein candidates in the subset correspond to the one or more characters.

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1. A computer-implemented method comprising: receiving in a search system a query from a user; identifying members of a social affinity group of the user, the social affinity group having members having a relationship to the user; receiving search results responsive to the query from a search engine, the search results including search results that reference resources associated with members of the social affinity group; identifying one or more words of the query; comparing the one or more words to one or more social network names included in a list, each social network name associated with a social network site; based on the comparing, determining that at least one of the one or more words matches a particular social network name of the one or more social network names, the particular social name associated with a particular social network site; in response to the determining: identifying among the search results a first search result that references the particular social network site, identifying among the search results a second search result that references a resource that is found on the particular social network site and is associated with a member of the social affinity group; and generating, for presentation to the user, a response to the query, the response comprising instructions that the first search result be presented in proximity to the second search result.

12. The method of claim 1 wherein identifying the second search result that references the resource is associated with the member comprises identifying the member that endorsed the resource.

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15. The non-transitory computer-readable media of claim 11 , storing further executable instructions that, when executed by the one or more processors, cause the system to: re-assign scores to the one or more text strings based on evaluating the one or more text strings using the customized language model.

11. Non-transitory computer-readable media storing executable instructions that, when executed by one or more processors, cause a system to: classify speech into at least one voice cluster based on identified acoustic features of the speech, the at least one voice cluster corresponding to a text cluster and a customized language model that reflects characteristics of a speaker of the speech; determine a text query based on the customized language model and one or more text strings determined based on the speech; receive search results based on the text query, each of the search results having a ranking indicating a measure of importance relative to other of the search results; re-rank the search results based on re-scoring the search results using the text cluster; receive a user interaction log comprising click data associated with a user interaction with the re-ranked search results; update the at least one voice cluster based on the user interaction with the re-ranked search results; and update the customized language model based on the click data associated with the user interaction with the re-ranked search results.

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55. The system of claim 33 , wherein steps g through i are repeated one or more times over spaced intervals of time, each time presenting a newly-calculated list of responses to the question from which the subject user selects the best answer.

57. The system of claim 55 , wherein the newly-calculated list presents prior responses selected based on multiple variables, including but not limited to popularity, syntax, and key words.

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7. The method of claim 5 wherein the reducing includes identifying a current slice where the current slice includes partial products or a carry from a previous slice.

5. The method of claim 2 further comprising reducing the bit-level data flow graph by finding adders, to produce a reduced bit-level data flow graph.

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15. The automated shopping system of claim 1 , further comprising a billing system that resides in program code within the at least one processor and that bills at least one of the user based on at least one of (a) number of providers that have been matched with said user, (b) number of orders during a period of time from said user, and (c) the number of iterations, and the provider based on the number of orders that have been matched with said provider.

1. An automated shopping system in which a user places an order for at least one provider, a degree of matching between each order-provider pairing is computed, and a score is reported to at least the user and optionally to the at least one provider, the automated shopping system comprising: at least one processor to receive and process information including at least one of (a) user information from at least one user including information that specifies provider criteria and order information that specifies order criteria for that particular order, (b) provider information from at least one provider, and (c) third party information; at least one data storage device that communicates with the at least one processor, that includes at least one database, and that receives and stores the information in the at least one database; at least one virtual provider that is created by program code within the at least one processor by pairing provider information of a particular provider with order information of a particular order to create an informational pair and that is stored within the at least one database; a knowledge base that is stored in a data storage device which may be said at least one data storage device, and that contains information on which to base requests for information by the system; a scoring system that resides in program code within the at least one processor, that compares the provider information of a particular provider and the order information of a particular order within each respective informational pair in at least one step, and that determines a score reflecting a degree of matching for each respective informational pair; and a management system that resides in program code within the at least one processor, that tracks each virtual provider through multiple steps, and that sequences the multiple steps by specifying contents of each step of the multiple steps, the contents at least including instructions to at least one of (a) the user regarding the input of user information, (b) the provider regarding the input of provider information, and (c) third parties regarding the input of information.

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1. A computer-implemented method for performing a semantic search, the method comprising: receiving one or more semantic identifiers that identify content that avoids one or more ambiguities inherent in keywords; merging one or more ontologies for inclusion in the search; receiving one or more filters that further refine the search; selecting a target search engine to which to deliver the query; generating a Boolean query based on the received semantic identifiers and filters; sending the generated query to the selected search engine; receiving query results from the search engine; and displaying the received query results to the user so that the user can select individual results, wherein the preceding steps are performed by at least one processor.

8. The method of claim 1 wherein selecting a target search engine comprises receiving from the user a Uniform Resource Locator (URL) of a search engine external to a computer system performing the method.

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8. The method of claim 1 , further comprising generating one or more search results corresponding to the first structured query, wherein each search result corresponds to a second node of the plurality of second nodes that is connected to at least one of the selected nodes by at least one of the selected edges.

1. A method comprising, by a computing device: accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising: a first node corresponding to a first user associated with an online social network; and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network; receiving, from a client system of the first user, a first structured query comprising a natural-language string generated by a grammar model and references to one or more selected nodes from the plurality of second nodes and one or more selected edges from the plurality of edges; generating one or more query modifications for the first structured query, each query modification comprising references to one or more modifying nodes from the plurality of second nodes or one or more modifying edges from the plurality of edges; and sending, to the client system of the first user, one or more of the query modifications as suggested modifications to the first structured query for display to the first user in response to receiving the first structured query, each query modification being selectable by the first user to modify the natural-language string of the first structured query to further comprise references to the one or more modifying nodes or one or more modifying edges referenced in the selected query modification.

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18. The selective call communication system according to claim 17 wherein the means for wrapping further comprising means for terminating each text line with a white pixel.

17. The selective call communication system according to claim 13 wherein the formatter further comprising: means for designating an input pointer and an output pointer; means, coupled to the means for designating, for establishing a threshold energy measure; a counter, coupled to the means for establishing, for counting black pixels in the text lines; and a comparator, coupled to the counter, for comparing the black pixels with the threshold energy measure.

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22. The non-transitory computer-readable storage medium of claim 14 , wherein the reference performance score is associated with a profile of the entity and wherein the instructions further comprise instructions that, when executed by the one or more processors, cause the computer system to determine, based at least in part on a comparison of the aggregate performance score relative to the reference performance score, that the entity is the entity being associated with the profile.

14. A non-transitory computer-readable storage medium having stored thereon executable instructions that, is executed by one or more processors of a computer system, cause the computer system to at least: provide, in connection with navigation of a website by an entity, a collection of security checks to the entity, the collection of security checks including a challenge-response problem based at least in part on evolutionary psychology, cognitive psychology, psycholinguistics, or color psychology; receive a collection of responses comprising at least a first response to a first security check of the collection of security checks and a second response to a second security check of the collection of security checks; calculate, based at least in part on the collection of responses, an aggregate performance score for the entity; determine a reference performance score for the collection of security checks; determine, based at least in part on the aggregate performance score and the reference performance score, information indicative of whether the entity is an automated-agent or a human-user, wherein the information indicates that the entity is human by including one or more incorrect responses of the collection of responses and indicates that the entity is automated by including one or more correct responses of the collection of responses; and perform one or more operations as a result of the information.

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17. A method comprising: identifying causal relationships between a plurality of documents; identifying a plurality of characteristics of a communication, including a modality used, actors involved, and proximate events of relevance; enabling a user to query based on all of the characteristics available; evaluating actor behavior over time, to create a threshold behavior for the actor; and identifying deviations from the threshold behavior.

19. The method of claim 17 , wherein the behavior includes one or more of the following: a reply cycle to communications, tone used, communications modality used.

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10. A computer-implemented method of searching documents, comprising: receiving, at a computing device, a query from a user that has logged into a computer system using a first user account having a first level of user permissions, the query to be executed against a data store including different document versions, the different document versions including a first version accessible by the first level of user permissions and a second version accessible by a second level of user permissions but not accessible by the first level of user permissions; dynamically creating a second user account for the user having the second level of user permissions; searching for the different document versions according to the first user account used to log into the system and the dynamically created second user account for the user; submitting different versions of the query to the data store in at least two passes corresponding to different levels of user permissions; receiving intermediate search results comprising the different document versions returned in response to the different versions of the query, wherein a first version of the query using the first level of user permissions is submitted to the data store in a first pass to return a first intermediate search result set including one or more first version documents accessed according to the first level of user permissions, and a second version of the query using the second level of user permissions is submitted to the data store in a second pass to return a second intermediate search result set including one or more second version documents accessed according to the second level of user permissions; determining actual user permissions of the user; and merging the first and second intermediate search result sets into a final result set that is accessible to the user and that includes first version documents and second version documents if it is determined that the actual user permissions of the user include the second level of user permissions.

19. The method of claim 10 , further comprising sorting the documents in the final result set based on data type.

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1. A distributed database system for a communication network having a plurality of nodes, each of which nodes includes a distributed database, said distributed database system comprising: local process means for extracting relations from each database of said communication network by performing local processes at each of said nodes of said communication system when a query including multi-attribute relations is input from one of said nodes; degree setting means for setting a degree number of each of said extracted relations from said local process means based on (A) tuple numbers of single-attribute relations derived from said multi-attribute relations and (B) a tuple number of each of said multi-attribute relations; relation set means for arranging a plurality of relation sets, each of which relation sets contains relations having the same degree number in ascending order by grouping said extracted relations from said local process means according to the degree number set by said degree setting means, wherein said relation sets include a first relation set containing relations with the lowest degree number; extraction means for extracting single-attribute relations from each of said relation sets arranged by said relation set means so that said single-attribute relations are added to said first relation set; semijoin operating means for repeatedly semijoining two relations of a relation set when a quantity of transfer data after said semijoining is detected to be smaller than a quantity of transfer data before said semijoining, and for adding derived relations resulting from said semijoining to a following relation set among the plurality of relation sets arranged by said relation set means; and control means or allowing said semijoin operating means to sequentially perform said semijoining and said adding for all of the plurality of relation sets arranged by said relation set means, starting from said first relation set and ending at a relation set having the highest degree number, so that each derived relation resulting from said semijoining is added to the transfer data.

7. A distributed database system according to claim 1, wherein: said control means obtains the transfer data by adding each derived relation to the transfer data, so that the transfer data is transmitted to said node.

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16. The computer-implemented method of claim 14 , wherein the language processing engine is a language correction engine that performs automated spelling correction processing functions.

14. The computer-implemented method of claim 1 further comprising: using the training data to train a classifier component of the language processing engine to perform the automated language processing functions.

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14. The computer program product of claim 11 , wherein determining whether the write to the target address is the event for which the thread is waiting comprises determining, by logic associated with the content addressable memory, whether the data value being written to the target address is a data value for which the thread is waiting.

11. A computer program product comprising a non-transitory computer useable medium having a computer readable program, wherein the computer readable program, when executed on a computing device, causes the computing device to: receive a portion of high level language program code; examine a series of instructions in the portion of high level language program code; determine whether the series of instructions comprises a recognized programming idiom from a plurality of predetermined programming idioms, wherein the set of predetermined programming idioms correspond to a plurality of programming idiom accelerators and wherein each of the plurality of programming idiom accelerators is a hardware device in the data processing system, wherein the plurality of programming idiom accelerators comprise a wake-and-go engine and a linked list acceleration engine; compile the high level language program code to machine code; responsive to a determination that the series of instructions comprises a recognized programming idiom, insert into the machine code a begin hint instruction that marks a beginning of the recognized programming idiom at a next instruction in the machine code and an end hint instruction that marks an end of the recognized programming idiom, wherein a given programming idiom accelerator that corresponds to the recognized programming idiom is configured to perform a look-ahead operation to examine the machine code being pre-fetched for a thread being executed by a processor and to detect the begin hint instruction, wherein during execution of the machine code by the processor, the given programming idiom accelerator performs at least one action to accelerate execution of the programming idiom, wherein the plurality of programming idiom accelerators are external to the processor; detect a thread that is waiting for an event that modifies a data value associated with a target address; store the target address in a wake-and-go entry of a content addressable memory in association with a thread identifier of the thread; place the thread in a sleep state; and responsive to detecting a write to the target address, use the target address to address the content addressable memory and return, by the content addressable memory, a storage address of the wake-and-go entry, place the thread corresponding to the thread identifier in the wake-and-go entry in a non-sleep state, and determine whether the write to the target address is the event for which the thread is waiting.

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41. A non-transitory computer readable storage medium storing a computer program product, comprising: computer code for providing at least one user page for receiving user input that is capable of being used to define a user profile associated with a user; computer code for receiving a selection of content, utilizing the at least one user page; computer code for delivering different portions of the content to the user utilizing a plurality of delivery modes including at least two of: a SMS delivery mode, a WAP delivery mode, a MMS delivery mode, an IVR delivery mode, a SMTP delivery mode, a GSM delivery mode, an Internet delivery mode, and a GPRS delivery mode; computer code for delivering a first portion of the content to the user utilizing a first delivery mode including at least one of: the SMS delivery mode, the WAP delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, and the GPRS delivery mode; computer code for delivering a second portion of the content to the user utilizing a second delivery mode that is different from the first delivery mode and includes at least one of: the SMS delivery mode, the WAP delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, and the GPRS delivery mode; computer code for receiving a first command associated with a first content; computer code for receiving a second command associated with a second content; computer code for, in response to the receipt of the first command associated with the first content, delivering the first content; computer code for, in response to the receipt of the second command associated with the second content, delivering the second content; and computer code for receiving information in association with at least a portion of the content.

69. The non-transitory computer readable storage medium of claim 41 , wherein the computer program product is operable such that the computer code for delivering is for delivering the different portions of the content to the user utilizing the plurality of delivery modes including each of the SMS delivery mode, the SMTP delivery mode, and the Internet delivery mode.

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11. A computer readable storage medium containing an executable program for performing speech recognition, where the program performs the steps of: acquiring a speech signal from a user; performing a first recognition pass by applying a first language model to said speech signal, said first language model being constrained in accordance with a structured data source; and generating a subsequent language model based at least in part on results from said first recognition pass.

16. The computer readable storage medium of claim 11 , wherein said first language model is constrained to a limited geographic domain encompassing said user's current geographic location.

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4. The document processing apparatus according to claim 3 , wherein the storage unit associates the comment with modification content information indicating modification contents of the electronic document and stores them, and the display control unit controls the display to further display the modification contents indicated by the modification content information.

3. The document processing apparatus according to claim 1 , further comprising: a display that displays the electronic document; and a display control unit that controls the display to display the modification at the second position distinguishably.

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11. The system to reduce improper disclosure of documents from a provider of the documents to a requester of the documents according to claim 10 , wherein QC assist process tool provides a plurality of OCR methods for the reviewer may run on selected failed documents.

12. The system to reduce improper disclosure of documents from a provider of the documents to a requester of the documents according to claim 11 , wherein the visual representations have a rectangular or square shape and are presented in a grid format of rows and columns of visual representations to facilitate the display of patterns in matching and non-matching pages.

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12. A host computing device comprising: one or more microcontrollers; one or more computer-readable storage media storing instructions that when executed via the one or more microcontrollers cause the host computing device to perform operations including: managing power exchange between the host computing device and an accessory device connected to the host computing device in accordance with settings for at least a power exchange direction and current limits defined by an active power management contract; maintaining a data structure configured to associate the accessory device with the settings for the active power management contract including at least the power exchange direction and the current limits defined by the active power management contract; monitoring to detect a change in conditions of the power exchange between the host computing device and the accessory device; monitoring to detect receipt of a power contract update message from the accessory device indicating a change in the conditions of the power exchange between the host computing device and the accessory device; determining whether the change to the conditions of the power exchange prompts modification of the active power exchange contract; and when the change to the conditions of the power exchange prompts the modification of the active power exchange contract: updating the settings of the active power management contract for at least the power exchange direction and the current limits in accordance with the conditions; and modifying the data structure to reflect the updated settings of the active power management contract.

13. A host computing device as described in claim 12 , wherein the instructions are implemented via firmware corresponding to the one or more microcontrollers of the host computing device and the one or more microcontrollers are configured to operate independently of a primary processing system of the host computing device.

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1. A method performed by one or more processors, comprising: identifying a query, the query being entered by a user in a graphical interface displayed by a computing device of the user; identifying a plurality of suggestions based on similarity between the suggestions and the query, the identified suggestions including at least one task suggestion that is associated with at least one task; prior to user input that indicates completion of the query, providing one or more of the suggestions for presentation to the user in the graphical interface, wherein providing the one or more of the suggestions includes providing the task suggestion associated with the at least one task, and wherein providing the task suggestion comprises: providing text of the task suggestion, and providing, in conjunction with the text of the task suggestion, an indicia that, when selected by the user, causes an association between the user and the at least one task to be stored in one or more databases, wherein the task suggestion is provided visually separate from any other provided of the suggestions; monitoring for a user selection of the text or the indicia; wherein in response to the user selection being of the text of the task suggestion, submitting, to a search engine, the text as a search query without causing the association between the user and the at least one task to be stored; and wherein in response to the user selection being of the indicia of the task suggestion, populating, in a separate application of the computing device, task information of the task.

7. The method of claim 1 , further comprising: determining additional information related to completion of the task; and storing an additional association between the additional information and the user and the at least one task.

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24. A computer-implemented method, comprising: obtaining, at a server system, information that identifies a level of inclusion of a particular word in queries that were received over a recent period of time, wherein the recent period of time when the queries were received is a period of time of transmission of the queries by a plurality of computerized devices to a search engine system, or a period of time of audio recordings of the queries; and modifying, by the server system, a speech recognition model to revise occurrence data for the particular word based on the level of inclusion of the particular word in the queries that were received over the recent period of time, wherein revising occurrence data for the particular word comprises assigning weights to occurrences of the particular word in the queries that were received over the recent period of time, the assigned weights being higher for occurrences of the particular word received over the recent period of time than weights assigned to occurrences of the particular word received outside the recent period of time and before the recent period of time.

27. The computer-implemented method of claim 24 , further comprising modifying, by the server system, the speech recognition model to revise a concurrence weighting for the particular word, wherein the concurrence weighting provides a determination of the likelihood of appearance of the particular word and a second word being adjacent, and wherein the concurrence weighting is generated based on the presence of the particular word and the second word together in one or more search queries.

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5. The system of claim 1 , wherein the one or more user actions include at least one of: a search query input by the user, a search result accessed by the user, a linkage between two or more data objects generated by the user, a token created by the user, or a note created by the user.

1. A system comprising: one or more processors of a machine; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: accessing, from a machine-readable storage device, a data object representing an investigative issue; causing presentation, on a display of a device, of a user interface configured to receive user search queries and to present search results for each received search query; causing presentation of a set of search results within the user interface in response to receiving a search query; receiving a user selection of one or more filters; filtering the search results in accordance with the one or more filters; receiving a user selection of text included in a particular search result of the set of search results; generating a token that includes the text; identifying additional instances of the token in a remainder of the set of search results; upon receiving a request to present one of the remainder of the set of search results, visually distinguishing the additional instances of the token in the one of the remainder of the set of search results; tracking user activity that includes one or more user actions performed as part of an investigation of the investigatory issue, the one or more user actions including user interactions with the user interface; creating a record of the user activity involving the investigatory issue, the record including the one or more user actions; and linking the record of the user activity with the data object representing the investigative issue, the linking of the record of user activity with the data object including modifying the data object to include a reference to the record of user activity.

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33. The method of claim 32 , further comprising providing, by the server, the selected subset of the plurality of conversations to a user that selects the first file.

32. A method for a server to identify conversations having relevance to a first file, comprising: receiving, by the server, a plurality of conversations, wherein the plurality of conversations were generated by a subject matter search; generating, by the server, a list of inquiries based on the plurality of conversations, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of conversations, thereby establishing the relationship between the first file and the plurality of conversations by text analysis or filtering; providing, by the system server, the list of inquiries to at least one sender of the first file, wherein the sender is provided with write-privilege to the first file; receiving from the at least one sender at least one response to the list of inquiries; selecting a subset of the plurality of conversations based on the at least one response; storing information related to the selected subset of the plurality of conversations for access if the first file is selected; providing, by the system server, the selected subset of the plurality of conversations to a user that selects the first file; and identifying the at least one sender to the user.

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7. The method according to claim 1 further comprising: importing the content package file to a portal server computer.

1. A method for generating a preview of a content package file, the method comprising: retrieving references to first level content files from the content package file, wherein the first level content files are separate files from the content package file; extracting content from the first level content files; replacing references to the first level content files in the content package file with the content extracted from the first level content files to create a combined file; removing the references from the combined file; and creating a preview of at least a portion of the content package file based on the content in the combined file, wherein information rendered by the preview displays at least some of the content extracted from the first level content files and content from the content package file, wherein the preview displays a version of the content package modified with the content from the combined file, wherein the preview occurs prior to generating a modified content package file from the combined file.

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25. The system of claim 14 , wherein the e-captcha challenge further comprises an image to be identified and wherein the response comprises an attempted identification of the image.

14. A system of distinguishing between computers and humans through enhanced completely automated public turing test to tell computers and humans apart (e-captcha), comprising: a computer system having a memory that stores computer program instructions and one or more physical processors programmed with the computer program instructions that, when executed by the memory and one or more physical processors, cause the computer system to: provide, via the network, executable instructions configured to generate a user interface that includes an e-captcha challenge, wherein the e-captcha challenge requires-one or more words or phrases to be uttered; receive an audio input via at least one input configured to receive the audio input, the audio input comprising a response to the e-captcha challenge; use an automated speech recognition engine to convert the audio input to text; determine an edit distance between the one or more words or phrases and the text converted from the audio input; determine whether the one or more words or phrases to be uttered were was at least partially correctly uttered based on the edit distance; responsive to a determination that the one or more words or phrases were at least partially correctly uttered, cause information indicating that the response is valid to be provided; and responsive to a determination that the one or more words or phrases were not at least partially correctly uttered, cause information indicating that the response is invalid to be provided.

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2. The face recognition system of claim 1 , wherein the face recognition system is applied to a movable robot.

1. A face recognition system based on adaptive learning, comprising: a specific person detection and tracking unit for detecting and tracking a specific person from a moving image; a facial feature extraction unit for extracting a plurality of facial feature vectors from the detected and tracked specific person; a face recognition unit for searching for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model Database (DB); a learning target selection unit for selecting a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors, wherein the selected facial feature vector has a lowest similarity, of the extracted facial feature vectors, to the given registration model; and a registration model learning unit for adding and updating the selected facial feature vector to the record of the given registration model.

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17. A non-transitory computer readable storage device comprising computer executable instructions tangibly embodied on a computer readable medium that when executed by said computer perform a method for word boundary probability estimating, the method comprising the steps of claim 12 .

12. The word boundary probability estimating method according to claim 10 , further comprising the steps of: referring to the first character string which is segmented into at least two words each word including at least one character, and storing an occurrence probability indicating a likelihood of an occurrence of each of the segmented words in association with the segmented word; referring the second corpus further storing a word n-gram probability calculated by the probabilistic language model building device according to a probabilistic language model building method; referring to a vocabulary dictionary storing, correspondingly to the first corpus, pronunciations associated with each of words segmented as known words; referring to a character dictionary storing, correspondingly to the first corpus, pronunciations and spelling of each character in a plurality of conversion candidates that can be converted from an unknown word in association with each other so that that the plurality of conversion candidates can be listed for the unknown word and storing the occurrence probability of a pronunciation of each character; and converting a input spelling into a conversion candidate by referring to the occurrence probabilities associated with each word stored in the first corpus and the occurrence probabilities of pronunciations of each character stored in the character dictionary, and the word n-gram probability stored in the second corpus for an input pronunciation, thereby forming a kana-kanji conversion method.

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19. The system of claim 15 , wherein the processors are further operable to: adjust the confidence score for each identified node based on whether the identified node is within a specified degree of separation from a user node corresponding to the first user in the social graph.

15. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive a plurality of data items imported into a social-networking system by a first user of the social-networking system, the plurality of data items being related to an entity; access one or more data stores storing a social graph of the social-networking system, the social graph comprising a plurality of nodes and a plurality of edges between nodes, the nodes comprising user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts; identify one or more nodes of the social graph that likely match the entity; determine, by the one or more processors, a confidence score for each of the one or more of the identified nodes, the confidence score indicating a relative likelihood that the identified node matches the entity, wherein the confidence score is based in part on an interaction between the entity and a test message sent to the entity; and update at least one of the identified nodes with at least one of the data items.

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5. The method of claim 1 , wherein the click values that represent the respective semantic distances between the semantically related nouns are positive numerical values.

6. The method of claim 5 , the positive numerical values being one, wherein the click values represent respective semantic distances between unrelated nouns as zero.

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2. The method of claim 1, wherein simultaneous with logging the event to the event store, also logging the event to an ASCII text file.

1. A method for logging events in a managed environment, said method comprising: a) monitoring, by a central broker, the managed environment for one or more events; b) receiving an event of the one or more events by the central broker; c) logging the event as the event is received by the central broker to an event store, wherein the event store has a plurality of non-textual files organized into a plurality of sets with each set of the plurality of sets containing corresponding event log and event index files, by appending a complete representation of the event in a language-independent non-textual form to an event log file of the event store and writing to an event index file the location of the event in the event log file; and d) repeating b) and c) for each event of the one or more events.

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3. The network device of claim 1 , wherein applying to at least some of the plurality of documents the modified sequitur algorithm further comprises employing a buffering scheme to manage the at least some of the plurality of documents; and wherein a document within the buffer is replaced with another document from the at least some of the plurality of documents based on a statistical analysis of a number of phrases detected.

1. A network device, comprising: a transceiver to send and receive data over a network; and a processor that is operative on the received data to perform actions, including: receiving, for a given time window, a plurality of documents having User Generated Content (UGC); partitioning the received plurality of documents into groups of documents having a determined maximum dissimilarity of content within each group, the dissimilarity being between the documents within a given group; distributing the groups of documents across a plurality of other network devices including the network device, wherein each of the other network devices and the network device apply to at least some of the plurality of documents a modified sequitur algorithm to identify a respective plurality of common phrases, wherein the modifications to the modified sequitur algorithm include using an array instead of a doubly-linked list to represent text, marking a diagram using an indexed array to indicate which position in an original sequence of characters is a start or an end of a non-terminal rule, rather than physically replacing the diagram with a non-terminal rule, and encoding frequent phrases or rules as state machines wherein the state machines are used to chain the identified rules for the identified phrases; receiving from each of the other network devices the respective plurality of common phrases to obtain identified plurality of common phrases; selecting from the identified plurality of common phrases at least one phrase as a trending topic phrase for at least the given time window; generating at least one link to at least one of the plurality of documents have content associated with the trending topic phrase; and displaying the trending topic phrase and the at least one link.

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1. A speech processing method comprising: generating, with at least one computer system, a search space from an N-gram language model with N greater than two, wherein the search space comprises a plurality of nodes including at least one grammar node that represents within the search space, an embedded grammar that is utilized in a plurality of contexts; and associating a grammar identifier that is uniquely associated with the embedded grammar with the at least one grammar node, wherein the same grammar identifier is used for each of the plurality of contexts, said grammar identifier referencing a recursive transition network corresponding to the embedded grammar.

8. The method of claim 1 , wherein the at least one grammar node comprises a plurality of grammar nodes for different embedded grammars, each grammar node being associated with a grammar specific recursive transition network.

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11. The method of claim 10 , further comprising sorting the plurality of article identifiers based at least in part on the first category.

10. The method of claim 6 , wherein the output signal comprises a plurality of article identifiers.

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11. The system of claim 8 wherein the ML file manager further performs: receiving a request from an ML consumer to read the ML document; reading the ML data in the parsed binary format from the parsed binary format ML document; and returning the ML data in the parsed binary format to the ML consumer.

12. The system of claim 11 wherein the request to read the ML document is received via the ML file manager as an option passed with a file open command.

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387. The method of claim 386 , wherein the receipt of the number of job descriptions is automatic, scheduled, or periodic.

386. The method of claim 375 , wherein the received job description is one of a number of job descriptions.

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1. A method for multi-sourced noise suppression, the method comprising: assigning weights to audio streams, the audio streams being provided substantially synchronously by a plurality of audio devices, the weights depending on quality of the audio streams, wherein the assigning weights includes generating an acoustic activity map by locating, identifying and mapping target sounds and noise sources in at least one of a single room and multi-room environment, so as to create a multidimensional acoustic view of the environment; based on the weights, performing noise suppression processing on the audio streams to generate a cleaned voice signal; providing the cleaned voice signal from the noise suppression processing to at least one remote device for further processing; and based on the acoustic activity map, selecting an optimal one of the plurality of audio devices to communicate with the user.

12. The method of claim 1 , wherein the audio streams comprise at least one voice command to perform at least one of activating the remote device and communicating with another user.

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17. The method of claim 15 , wherein receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas comprises, for at least one of the one or more successive selections of second input areas, receiving data indicating a drag input across one or more second input areas adjacent to the selected second input area, wherein the respective range consists of the one or more second input areas.

15. A method comprising: providing, on a touch interface arranged on a head-mountable display such that the touch interface is outside of a wearer field-of-view when the head-mountable display is worn, a user-interface comprising a set of input areas, wherein each of the input areas is associated with a character from a set of characters; receiving, on the touch interface, first touch input data indicating a selection of a first input area from the set of input areas and a direction relative to the first input area; determining a first subset of input areas from the set of input areas, wherein the first subset includes a range of one or more adjacent input areas extending from the selected first input area in the indicated direction relative to the selected first input area; receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas from the set of input areas and respective directions relative to each selected second input area, wherein each selected second input area is located to a first side of a previously selected second input area; determining one or more second subsets of input areas from the set of input areas, wherein each second subset includes a range extending from the selected second input area in the indicated direction relative to the second input area, wherein the range is exclusive of input areas that are located to a second side of previously selected second input area, and wherein the second side is opposite the first side; determining a word that includes respective characters corresponding to input areas within the first subset of input areas and the one or more second subsets of input areas; and causing a visual depiction of the determined word to be provided on a head-mountable graphical display.

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3. The device of claim 2 , further comprising: a non-acoustic sensor configured to sense vibration information related to a talker of the signal segment; and a sampler configured to sample outputs of the microphone and the non-acoustic sensor and output the signal segment as a combination of the sampled outputs of the microphone and the non-acoustic sensor.

2. The device of claim 1 , further comprising: a microphone configured to sense an audio signal that includes the signal segment.

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1. A method for sharing one or more token vocabularies among a plurality of separate database systems, the method comprising: storing the one or more token vocabularies in a repository, wherein: each token vocabulary of the one or more token vocabularies corresponds to an XML schema; each token vocabulary of the one or more token vocabularies defines a plurality of associations between XML elements and replacement values; the repository is accessible to the plurality of separate database systems; and each database system, of the plurality of separate database systems, comprises one or more database servers that are designated to managing one or more databases; receiving, from a first database server of a first database system of the plurality of separate database systems, a first request for a token vocabulary; in response to the first request, retrieving a first token vocabulary, of the one or more token vocabularies, from the repository; sending the first token vocabulary to the first database server; receiving, from a second database server of a second database system of the plurality of separate database systems, a second request for a token vocabulary, wherein the second database system is different than the first database system; in response to the second request, retrieving a second token vocabulary, of the one or more token vocabularies, from the repository; and sending the second token vocabulary to the second database server.

2. The method of claim 1 , wherein: the first database server uses the first token vocabulary to either encode first XML data to conform to a binary format or to decode the first XML data from the binary format; and the second database server uses the second token vocabulary to either encode second XML data to conform to the binary format or to decode the second XML data from the binary format.

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10. The method of claim 9 , further comprising: controlling operation of a device based on validating the query results of the at least one function performed by the application, where the controlling is performed by the computer.

9. A method for performing integration testing using an unstructured database, the method comprising: determining a driver class file for an integration testing tool to connect to a specified unstructured database of a plurality of unstructured databases, where the driver class file includes parameters of the specified unstructured database, the parameters are validated to connect the integration testing tool to the specified unstructured database, the driver class file is determined from a plurality of files associated with the plurality of unstructured databases the integration testing tool is to test at least one function performed by an application, the application is to store data in the specified unstructured database responsive to performing the at least one function, and the determining is performed by a computer; generating a connectivity driver for the specified unstructured database by determining a path to a location of a folder of the driver class file, and using the path to the location of the folder of the driver class file to generate the connectivity driver for the specified unstructured database, where the path is used to access the driver class file, and the generating is performed by the computer; determining dependency files for the specified unstructured database, where the dependency files are used to retrieve the data from the specified unstructured database, the dependency files are used to update the data in the specified unstructured database, the dependency files are determined from the plurality of files associated with the plurality of unstructured databases, and the determining of the dependency files is performed by the computer; storing the driver class file, the connectivity driver, and the dependency files in a library of the integration testing tool, where the library of the integration testing tool stores executable files for integration testing of the application, and the adding is performed by the computer; establishing a connection between the integration testing tool and the specified unstructured database, where the connection is established using the driver class file and the connectivity driver, and the establishing is performed by the computer; generating a query to access the data in the specified unstructured database, where the query is in a format compatible with the specified unstructured database, the data represents a result based on performing the at least one function, and the generating of the query is performed by the computer; sending the query to the specified unstructured database for execution, where the dependency files are used, based on the query, to retrieve query results from the specified unstructured database, and the sending is performed by the computer; receiving the query results based on performing the at least one function when the query is executed, where the receiving is performed by the computer; comparing the query results to validation data, where the comparing is performed by the computer; determining whether the at least one function operates in a determined manner based on the comparing, where the determining is performed by the computer; and validating the query results based on comparing the query results to the validation data to determine whether the at least one function operates in the determined manner, where the validating is performed by the computer.

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8. A computer system for developing user profiles within a profile corpus, the system comprising a non-transitory computer readable medium storing instructions to: determine topics associated with digital content items; organize user profiles of users into a plurality of demographic groups based on demographics of the users; retrieve access data indicating interactions of users in a demographic group from one of the plurality of demographic groups with a plurality of the digital content items; identify the topics associated with the plurality of digital content items interacted with by the users from the demographic group as candidate topics to include in user profiles of the users in the demographic group based on the access data; for each candidate topic, identify topics included in the user profiles of the users in the demographic group that co-occur in the user profiles with that candidate topic; select, by a computer, a candidate topic from the candidate topics to include in a target user profile of a target user from the demographic group based on co-occurrence of the candidate topic with one or more topics included in the target user profile that were identified from the user profiles of the users in the demographic group as co-occurring with the candidate topic; and add the selected candidate topic to the target user profile of the target user from the demographic group.

9. The computer system of claim 8 , wherein adding the selected candidate topic comprises: adding the selected candidate topic to the target user profile of the target user from the demographic group responsive to the target user profile not including the selected candidate topic.

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2. The method of claim 1 , wherein the reputation data is based on an event associated with the domain name.

5. The method of claim 2 , wherein the event associated with the domain name includes a transfer of the domain name.

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2. The system of claim 1 , wherein the re-conveyed portion of the advertisement message or commercial solicitation is commercially targeted adaptively, whereby such re-conveyed portion comprises an advertisement ring or an adaptive forum post.

1. A system for computer control of social interactions based on voice conversation processing with a caller from a communication event, comprising: a network interface for accessing via a the conversation, to capture an advertisement message or commercial solicitation; a processor for detecting the advertisement message or commercial solicitation; and a controller for associating contextually the captured message or commercial solicitation and for extracting selectively to re-convey accordingly via the network at least a portion of the advertisement message or commercial solicitation as a notification to a new communication with the caller.

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12. A method to recognize objects in an image, the method comprising: searching a source image for any candidate objects of a predetermined object type by applying a cascade classifier associated with the predetermined object type to the source image; determining a likelihood that each candidate object is an object of the predetermined object type by: determining a plurality of scores for a candidate object from a plurality of verification tests applied to the candidate object, each one of the scores determined from a corresponding one of the verification tests, wherein each one of the scores represents an indication of a difference between the candidate object and a set of reference images for the predetermined object type; and determining a belief score for the candidate object from the scores for the candidate object, the belief score indicating the likelihood that the candidate object is of the predetermined object type; and identifying the candidate object as a detected object of the predetermined object type when the belief score relative to a threshold belief score indicates the candidate object is of the predetermined object type.

23. The method of claim 12 wherein determining a likelihood that each candidate object is an object of the predetermined object type further comprises adjusting the belief score based on an identity of an individual in the source image.

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9. The storage medium of claim 8 , wherein the web application function has a function size, the web application function is defined in a file having contents, a file size and a website download sequence position, and the web application function has a location in the file relative to other contents of the file, and the selecting step (F) includes selecting the web application function at least in part based on at least one of the following: the function size, the file size, the file's website download sequence position, or the web application function's location in the file.

8. A computer-readable storage medium configured with data and with instructions that when executed by at least one processor causes the processor(s) to perform a technical process to facilitate debugging or testing a locally cached web application, the process comprising the steps of: (A) automatically replaying a previously recorded scenario to the locally cached web application, the locally cached web application including a plurality of functions, thereby (B) exercising a subset of the web application functions through their execution by at least one processor and (C) producing a scenario behavior from the web application; (D) automatically trimming from the web application at least one dead function, namely, a web application function which was not exercised during step (B), thereby (E) providing a trimmed version of the web application; (F) selecting a web application function which was exercised during step (B) and then (G) disabling execution of the selected exercised function; (H) attempting to again replay the previously recorded scenario to the web application, but with the selected function disabled even though it was exercised in step (B), thereby (J) producing a candidate behavior from the web application; when the step (J) candidate behavior matches the step (C) scenario behavior then (K) removing the disabled function, thereby (L) providing a trimmed and reduced version of the web application for debugging; and when the step (J) candidate behavior does not match the step (C) scenario behavior then (M) re-enabling the disabled function, thereby (N) providing a trimmed and reduction-tested version of the web application for debugging; wherein the process includes interleaving multiple instances of attempting the trimming step (D) with multiple instances of the removing step (K) for which candidate behavior matches the scenario behavior.

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6. The method of claim 1 , further comprising tagging the portion of the form with the identified form context of the portion of the form.

1. In a computing environment, a method for facilitating adding content to forms by providing field content suggestions using context determined based on form features, the method comprising: defining a plurality of form contexts, wherein the form contexts comprise a unique purpose, a circumstance, or a perspective of a representative form, and wherein each of the form contexts is defined by assigning to it a plurality of representative form features and by assigning a weighting to each of the representative form features, wherein the representative form features comprise non-text field characteristics, field labels, and other field-specific text characteristics; providing a user interface for display, the user interface displaying a form and providing editing features usable to add content to fillable fields of the form, each of the fillable fields identified by a field label; determining, by a processor, which of the plurality of form contexts to assign to a portion of the form by identifying form features found in the portion of the form, correlating the identified form features to the representative form features of each of the form contexts, and assigning to the portion of the form the form context having a highest degree of correlation, wherein the portion of the form comprises a plurality of the fillable fields of the form; identifying, by the processor and from the form context of the portion of the form, a field content suggestion for a fillable field within the portion of the form, the field content suggestion indicating content items selectable by a user to complete the fillable field; and providing, by the processor, the field content suggestion for the fillable field for display in the user interface.

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11. Apparatus for selecting a language for use by a plurality of agents of an automatic call distributor, such apparatus comprising: means for storing an indication of the selected language in a memory of the automatic call distributor; means for downloading the indication to each agent station of each agent of the plurality of agents; and means for programming the agent stations to use the selected language based upon the downloaded indication of the selected language.

12. The apparatus for selecting a language as in claim 11 wherein the means for programming the agent stations further comprises means for activating a language utility within a terminal of the agent stations.

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2. The method of claim 1 , further comprising visualizing the extracted data.

1. A method of analyzing data, comprising: generating, by an entity, a query based at least in part on a topic of interest; executing the query on a plurality of data sources, at least one of the plurality of data sources comprising at least one of customer information, health related information, or a combination thereof; selecting, by the entity, a data source from the plurality of data sources for monitoring based on a correlation between the data source and the topic of interest, the correlation determined based on results of the executed query; monitoring, based on a set schedule, the data source for matches to the query to extract data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; extracting data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; determining an extraction rate for extracting the data, the extraction rate indicating an amount of the data that is extracted over a first time period; determining a first processing rate for processing the extracted data with a number of parallel processors, the first processing rate indicating an amount of extracted data that is processed over a second time period; dynamically adjusting the number of parallel processors for analyzing the extracted data based on the extraction rate to obtain a second processing rate that is greater than the first processing rate; analyzing, with the parallel processors, the extracted data to determine at least one of a sentiment, an index, a pattern, or a combination thereof; establishing a two-way communication channel, between at least the entity that selected the data source for monitoring and a user device of a user that provided data to the data source, based on the analysis of the extracted data; transmitting, from the entity via the two-way communication channel, a first message directed to the user device based on the analysis of the extracted data; and receiving, from the user device via the two-way communication channel, a second message in response to the first message directed to the user device.

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2. A method of teaching a student comprising (a) creating one or more audio-visual works including natural communication situations, each of which works includes presentation during such situations of a plurality of utterances simultaneously with corresponding writings, each audio-visual including an area to which the student's attention is naturally directed, which area includes (i) a first portion from which utterances either appear to emanate or to which the student's eye is drawn by the invitation of the meaning of the utterances and (ii) a second portion displaying said writings simultaneously with each utterance such that an association between the utterance and the corresponding writing will occur in the mind of the student; (b) making such works available to the student; and (c) allowing such student to select arrangements for viewing and listening over time until each of the plurality of utterances has been heard by the student together with the viewing of their corresponding writings a sufficient number of times to assist in learning that certain utterances correspond to such certain writings.

3. The method of claim 2 in which the first and second portions overlap.

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12. The system as claimed in claim 11 , wherein said at least one processor and said memory are further configured to identify the intent of the user from at least a set of metadata associated with the user, wherein the set of metadata is associated with a user input.

13. The system as claimed in claim 12 , wherein said at least one processor and said memory are further configured to analyze the user input comprising the set of metadata to ascertain an intention associated with the user; based on the intention ascertained, obtain the data related to the intent of the user in real-time from a set of information repositories; and provide the data related to the intent of the user to the user.

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57. The computer readable storage medium of claim 34 , wherein receiving an image of a collection overview comprises receiving a fax message comprising the image of the collection overview.

34. A computer readable storage medium having instructions stored thereon which, when executed by a computer, cause the computer to perform operations comprising: scanning a coversheet having an overview of a collection; receiving an image of the overview of the collection that comprises a first plurality of indication areas associated with a plurality of documents and a second plurality of indication areas associated with a plurality of actions, wherein the plurality of actions includes printing, faxing, sending by electronic mail, and grouping; identifying at least one action from the plurality of actions set forth in the image; identifying at least one document from the plurality of document for the at least one action identified from the plurality of actions, wherein the identifying the at least one action is performed based on the second plurality of the indication areas in the image and the identifying the at least one document is performed based on the first plurality of the indication areas in the image, wherein the at least one action and the at least one document are identified by scanning the image; and performing the at least one action on the at least one document in response to the identifying the at least one action from the fourth plurality of actions set forth in the image and the identifying the at least one document from the third plurality of document from the image.

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17. The non-transitory computer-readable storage memory of claim 10 , wherein the index is a corporate dictionary comprising a set of n-grams that identify each knowledge unit within the knowledge corpus of the enterprise, and the set of n-grams comprises the one or more of the extracted n-grams added to the index.

10. A non-transitory computer-readable storage memory storing a plurality of instructions executable by one or more processors, the plurality of instructions comprising: instructions that cause the one or more processors to obtain data files from a knowledge corpus of an enterprise; instructions that cause the one or more processors to identify key terms within the data files; instructions that cause the one or more processors to determine, for each identified key term, a frequency of occurrence and location within the data files; instructions that cause the one or more processors to generate knowledge units from the data files based on the determined frequencies of occurrence and the determined locations of the key terms in the data files; instructions that cause the one or more processors to select a knowledge unit from the generated knowledge units for extraction of n-grams; instructions that cause the one or more processors to derive a term vector comprising terms in the knowledge unit based at least on the determined frequencies of occurrence and the determined locations of the key terms in the knowledge unit; instructions that cause the one or more processors to identify the key terms in the term vector based at least on the frequency of occurrence of each key term in the knowledge unit; instructions that cause the one or more processors to calculate a probability of one or more terms adjacent to each key term in the knowledge unit as preceding or following the key term based on a function of natural language processing; instructions that cause the one or more processors to extract an n-gram comprising the one or more terms and the key term when the probability of the one or more terms being adjacent to the key term is greater than a minimum threshold probability; instructions that cause the one or more processors to extract an n-gram comprising only the key term when the probability of the one or more terms being adjacent to the key term is less than the minimum threshold probability; instructions that cause the one or more processors to score each of the extracted n-grams as a function of at least a frequency of occurrence of each of the n-grams across the knowledge corpus of the enterprise; and instructions that cause the one or more processors to add one or more of the extracted n-grams to an index based on the scoring.

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10. A computer having user interface devices including at least a display and a keyboard, and having memory separately storing configuration data and performance metric data of one or more configuration attributes and one or more performance metric data attributes of one or more instances of one or more resource types being monitored, said performance metric data comprising one or more time series of performance metric data numerical values of said one or more performance metric data attributes of said one or more instances of said one or more resource types being monitored, each said numerical value in each said time series of performance metric data numerical values having been converted to a Unicode character, said data organized as a non relational database file system stored in said memory, said computer having a programmable processor coupled to said user interface devices and said memory and under control of one or more computer programs to control said computer, said one or more computer programs structured to control said computer to implement a query definition language having rules of syntax and syntax building blocks, said one or more computer programs structured to control said computer to present a search query user interface where a user can define the start and stop times of a relevant interval and use said syntax building blocks and said rules of syntax to compose a search query defining one or more desired searches of said configuration data and/or said Unicode characters representing said performance metric data numerical values using a regular expression in each search which defines a match or filter condition to be matched or compared with relevant data retrieved from said memory, and wherein said one or more computer programs are structured to control said computer to provide reverse mapping syntax building blocks which a user can use to search said Unicode characters using a number or numerical range in a regular expression matching or filtering criteria, the use of a number or numerical range being made possible in a search because said one or more computer programs are structured to control said computer to convert any such number or numerical range in a regular expression matching or filtering criteria to an equivalent Unicode character or set of Unicode characters which will be used to match or compare to said relevant data comprising Unicode characters when performing said search containing said number or numerical range.

11. The computer of claim 10 wherein each said time series of performance metric data numerical values is collected in a series of time slots which span an entire day and wherein said Unicode representing said performance metric data numerical values is stored in said non relational database file system, said file system being organized so as to have all performance metric data gathered during one day stored in files in a single directory which has the date of said day in the name thereof, each said directory having a separate subdirectory for each instance of a resource type and wherein there are one or more resource types being monitored, each instance of a resource type having one or more attributes, each said subdirectory storing one or more files, each said file storing one or more time series of Unicode characters each said time series of Unicode characters representing a time series of performance metric data numerical values collected over a plurality of time slots spanning one day from one instance and one attribute in a group of one or more attributes, each said time series of Unicode characters stored in a separate section of said file in a plurality of storage positions such that each position of storage of each said Unicode character in said section maps to the time slot during which the performance metric data numerical value represented by said Unicode character was collected.

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14. A system for performing vector comparison in natural language processing, the system comprising at least one processing unit coupled to a memory, wherein the memory is encoded with computer executable instructions that, when executed, cause the at least one processing unit to: receive a single-magnitude source vector including a plurality of source vector dimensions each of the plurality of source vector dimensions comprising a source word or phrase, and a multi-magnitudinal target vector including a plurality of target vector dimensions, each of the plurality of target vector dimensions comprising a target word or phrase, wherein each source vector dimension of the plurality of source vector dimensions is associated with a single possible magnitude and one or more of the target vector dimension of the plurality of target vector dimensions is associated with multiple possible magnitudes, wherein each of the magnitudes comprises a weight; determine which of the plurality of target vector dimensions are associated with multiple possible magnitudes; resolve each of the plurality of target vector dimensions associated with multiple possible magnitudes to an actual magnitude based on a feature of a respective source vector dimension of the single-magnitude source vector; and compare the target vector with the source vector to obtain a similarity measure.

18. The system of claim 14 , wherein the instructions to receive a single-magnitude source vector and a multi-magnitudinal target vector including a plurality of target vector dimensions cause the processor to: receive the multi-magnitudinal target vector from a semantic data storage and receiving the single-magnitude source vector from a source data storage.

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4. A method according to claim 3 , wherein different of the multiple similarity scores correspond to respective different keyword weighting algorithms used to weight terms in term vectors used to generate the similarity scores.

3. A method according to claim 1 , wherein the sigmoid function is used to combine multiple similarity scores together to predict the probability.

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15. The method of claim 9 , further comprising presenting at least portions of the website content related to user demographics as derived from the user preferences.

9. A computer-implemented method of managing content presentation, comprising: selecting a website with which to conduct an online session with a user; controlling exposure of user preference data stored in a user-created user profile of the user to the website based on user input and independently exposing different amounts of the user preference data to each of a plurality of different vendor websites based on user input; and presenting website content of the website based on the exposed user preferences data.

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2. A method as in claim 1 , wherein the further document is scanned only in the designated area of interest.

1. A method for verifying the match of envelopes and documents in an automated matched mail system comprising a plurality of processing stations, the method comprising: for a first envelope and a first document, by a second scanner device, scanning a face of the envelope and, by one of a local control unit or a central control unit, extracting envelope-addressee data indicative of the human-readable addressee information on the envelope; by a first scanner device, scanning the document and, by one of a local control unit or a central control unit, extracting document data indicative of the content of the document; by one of a local control unit or a central control unit, searching through the document data to locate a match to the envelope-addressee data and designating an area of interest within the document at the location at which the match occurs; for a further envelope and a further document, by said second scanner device, scanning a face of the envelope and, by one of a local control unit or a central control unit, extracting envelope-addressee data indicative of the human-readable addressee information on the envelope; by said first scanner device, scanning the document and, by one of a local unit or a central control unit, extracting document-addressee data at a location within the document corresponding to said designated area of interest and, by one of a local control unit or a central control unit, comparing the envelope-addressee data and the document-addressee data so as to verify the match of the further envelope and further document.

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9. The method of claim 1 , wherein the sampling comprises intercepting sample data but not intercepting non-sample data, and wherein the sampling comprises intercepting sample data from a plurality of data modes, wherein the data modes may comprise any of voice, audio, video, gaming, social network or blogging.

1. A computerized method comprising: sampling one or more streams of electronic data, the electronic data comprising user communications data, to obtain sample data, wherein sampling the streams of electronic data comprises real-time sampling, sensing, and detection of user communications data comprising user-generated content data streams that are in transmission to, but not yet received by, intended recipients; analyzing the user-generated content data streams in the sample data to obtain targeting data for use in targeting electronic advertisements to electronic device users, wherein the targeting data comprises data relating to topics of interest to the electronic device users; based at least in part on the analyzing of the user-generated content data streams in the sample data, increasing one or more sampling frequencies or rates during at least one period based on a determination that targeting data is more likely to be concentrated during the at least one period than during other periods, wherein the increasing of the one or more sampling frequencies or rates is determined by utilizing one or more analytic correlation applications in detecting patterns, and wherein the patterns can include time-based or frequency-based patterns associated with the user-generated content data streams; based at least in part on the targeting data obtained, selecting electronic advertisements for serving to targeted electronic device users; and serving the selected electronic advertisements to the targeted electronic device users, the serving including causing an advertisement serving system to initiate or modify an automated advertising campaign that includes the selected electronic advertisements.

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7. The apparatus of claim 1 , comprising: a module for calculating a score which measures potential page load performance of pages in a Web site for visitors with varying network performance characteristics.

1. An apparatus for dynamic Web page performance scoring, comprising: a tool for accessing Web page structure in connection with the real time loading, display, and operation of a Web page; said tool comprising a module for analyzing a plurality of Web page metrics related to said Web page while said Web page is running; said tool comprising a module for receiving information about said Web page that is generated while analyzing said Web page metrics; said tool comprising a heuristic mechanism for calculating a performance subscore for each of said metrics; and said tool comprising a module for combining said performance subscores for said metrics to produce at least one interpretable Web page performance score.

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5. The method of claim 3 , wherein the selected limited number of lists include words, their synonyms, corresponding symbols and corresponding jargon.

3. The method of claim 2 , wherein the General Library Tables are subdivided into a number of lists.

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16. The calculation device of claim 6 , where the formatted mathematical expression is a radical, and wherein a last character of the radical is defined as a rightmost character.

6. A calculation device comprising: entry keys configured to allow a user to enter at least a formatted mathematical expression; a display configured to: display the formatted mathematical expression, and display an editing cursor that the user can move to various locations within the display, the various locations including a plurality of locations within the formatted mathematical expression; a hardware processor, wherein the hardware processor operates the display in at least a bipositional input mode, wherein in bipositional input mode when an entry key actuated by the user is a character key, a character corresponding to the character key may be inserted in any of the plurality of locations of the formatted mathematical expression.

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16. The system of claim 11 , wherein the selected target site provides information relevant to the first text content.

11. A system comprising: a processor; and a memory, wherein the memory stores instructions that, when executed by the processor, cause the processor to: identify first text content on a first conversation medium; identify a plurality of available templates, each of the plurality of available templates including second text content; identify a plurality of available target sites, each of the plurality of available target sites including third text content; identify a first combination including a first template of the available templates, and a first target site of the available target sites; identify a second combination including a second template of the available templates, and a second target site of the available target sites; determine a first score based on a comparison of the second and third text contents of the first combination, against the first text content of the conversation; determine a second score based on a comparison of the second and third text contents of the second combination, against the first text content of the conversation; select one of the first or second combinations based on the first and second scores; and provide the second text of a selected template of the first and second templates corresponding to the selected combination, and a link to a selected target site of the first and second target sites corresponding to the selected combination, in the first conversation medium.