---
license: apache-2.0
language: en
tags:
- recommendation
- collaborative filtering
metrics: recall@10
base_model: FacebookAI/roberta-base
pipeline_tag: sentence-similarity
repo: https://github.com/jibala-1022/EasyRec
---

# EasyRec-Base

## Overview

- **Description**: EasyRec is a series of language models designed for recommendations, trained to match the textual profiles of users and items with collaborative signals.
- **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.
- **Evaluation**: We evaluate the performance of EasyRec in: (i) Text-based zero-shot recommendation and (ii) Text-enhanced collaborative filtering.
- **Finetuned from model:** EasyRec is finetuned from [RoBERTa](https://huggingface.co/FacebookAI/roberta-large) within English.

For details please refer [💻[GitHub Code](https://github.com/jibala-1022/EasyRec)] and [📖[Paper](https://arxiv.org/abs/2408.08821)].

### Model List
We release a series of EasyRec checkpoints with varying sizes. You can easily load these models from Hugging Face by replacing the model name.
| Model | Size | Parameters | Recall@10 on Movies |
|:-----:|:----:|:----------:|:-------------------:|
| [jibala-1022/easyrec-small](https://huggingface.co/jibala-1022/easyrec-small)   | 243 MB | 121,364,313 | 0.0086 |
| [jibala-1022/easyrec-base](https://huggingface.co/jibala-1022/easyrec-base)     | 328 MB | 163,891,545 | 0.0166 |
| [jibala-1022/easyrec-large](https://huggingface.co/jibala-1022/easyrec-large)   | 816 MB | 407,933,017 | 0.0166 |

## 🌟 Citation
```bibtex
@article{ren2024easyrec,
  title={EasyRec: Simple yet Effective Language Models for Recommendation},
  author={Ren, Xubin and Huang, Chao},
  journal={arXiv preprint arXiv:2408.08821},
  year={2024}
}
```