SelfCF

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Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering". Accepted by ACM TORS.

SelfCF 최신버젼 다운로드

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# SelfCF: A Simple Framework for Self-supervised Collaborative Filtering (ACM TORS)

:label: **Note**: This repo. holds the best hyper-parameters for reproducibility of our models on [Amazon-Grocery and Gourmet Food](https://nijianmo.github.io/amazon/index.html). Please note this repo. is deprecated and will not be maintained. SelfCF is integrated into [ImRec](https://github.com/enoche/ImRec).
- :twisted_rightwards_arrows: _SelfCF_ is integrated into the unified [ImRec](https://github.com/enoche/ImRec) framework.
---

This is our implementation of the paper:

Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao. SelfCF: A Simple Framework for Self-supervised Collaborative Filtering [ACM](https://dl.acm.org/doi/abs/10.1145/3591469)

## Overview

We present a simple framework that specialized for collaborative filtering problem. The framework enables learning of latent representations of users and items **without Negative Samples**.  
We augment the output embeddings generated from backbone networks instead of the input user-item ids. For output embedding augmentation, we propose three techniques:  
- Historical embedding.
- Embedding dropout.
- Edge pruning.

For details, please refer to the paper.

## Features  
- Standard data preprocessing.  
- Unified data splitting with global-timeline.  
- Standard evaluation protocols.   
- Posterior recommendation results.

## Data  
Download from Google Drive: [Amazon-Vedio-Games/Food etc.](https://drive.google.com/drive/folders/1WqRAeoWWGdZplYkjS4640V7v0urNiTXg?usp=sharing)

## Environment:

python	3.6  
pytorch	1.8  
PyYAML	6.0  
pandas	0.24  
numpy 1.19

## Please condier cite our paper:
```
@article{zhou2023selfcf,
  author = {Zhou, Xin and Sun, Aixin and Liu, Yong and Zhang, Jie and Miao, Chunyan},
  title = {SelfCF: A Simple Framework for Self-Supervised Collaborative Filtering},
  year = {2023},
  journal = {ACM Trans. Recomm. Syst.},
  publisher = {Association for Computing Machinery},
}
```

## ACK:
We would like to give thanks to the following repos:  
[RecBole](https://github.com/RUCAIBox/RecBole)  
[BUIR](https://github.com/donalee/BUIR)

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