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--- |
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license: apache-2.0 |
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language: en |
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tags: |
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- recommendation |
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- collaborative filtering |
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metrics: recall@10 |
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base_model: FacebookAI/roberta-base |
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pipeline_tag: sentence-similarity |
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--- |
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# EasyRec-Base |
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## Overview |
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- **Description**: EasyRec is a series of language models designed for recommendations, trained to match the textual profiles of users and items with collaborative signals. |
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- **Usage**: You can use EasyRec to encode user and item text embeddings based on the textual profiles that reflect their preferences for various recommendation scenarios. |
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- **Evaluation**: We evaluate the performance of EasyRec in: (i) Text-based zero-shot recommendation and (ii) Text-enhanced collaborative filtering. |
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- **Finetuned from model:** EasyRec is finetuned from [RoBERTa](https://huggingface.co/FacebookAI/roberta-large) within English. |
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For details please refer [💻[GitHub Code](https://github.com/jibala-1022/EasyRec)] and [📖[Paper](https://arxiv.org/abs/2408.08821)]. |
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### Model List |
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We release a series of EasyRec checkpoints with varying sizes. You can easily load these models from Hugging Face by replacing the model name. |
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| Model | Size | Parameters | Recall@10 on Movies | |
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|:-----:|:----:|:----------:|:-------------------:| |
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| [jibala-1022/easyrec-small](https://huggingface.co/jibala-1022/easyrec-small) | 243 MB | 121,364,313 | 0.0086 | |
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| [jibala-1022/easyrec-base](https://huggingface.co/jibala-1022/easyrec-base) | 328 MB | 163,891,545 | 0.0166 | |
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| [jibala-1022/easyrec-large](https://huggingface.co/jibala-1022/easyrec-large) | 816 MB | 407,933,017 | 0.0166 | |
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## 🌟 Citation |
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```bibtex |
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@article{ren2024easyrec, |
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title={EasyRec: Simple yet Effective Language Models for Recommendation}, |
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author={Ren, Xubin and Huang, Chao}, |
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journal={arXiv preprint arXiv:2408.08821}, |
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year={2024} |
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} |
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``` |
