Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

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Deep LearningDuoRec
Overview

DuoRec

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Usage

Download datasets from RecSysDatasets or their Google Drive. And put the files in ./dataset/ like the following.

$ tree
.
├── Amazon_Beauty
│   ├── Amazon_Beauty.inter
│   └── Amazon_Beauty.item
├── Amazon_Clothing_Shoes_and_Jewelry
│   ├── Amazon_Clothing_Shoes_and_Jewelry.inter
│   └── Amazon_Clothing_Shoes_and_Jewelry.item
├── Amazon_Sports_and_Outdoors
│   ├── Amazon_Sports_and_Outdoors.inter
│   └── Amazon_Sports_and_Outdoors.item
├── ml-1m
│   ├── ml-1m.inter
│   ├── ml-1m.item
│   ├── ml-1m.user
│   └── README.md
└── yelp
    ├── README.md
    ├── yelp.inter
    ├── yelp.item
    └── yelp.user

Run duorec.sh.

Cite

If you find this repo useful, please cite

@article{DuoRec,
  author    = {Ruihong Qiu and
               Zi Huang and
               Hongzhi Yin and
               Zijian Wang},
  title     = {Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation},
  journal   = {CoRR},
  volume    = {abs/2110.05730},
  year      = {2021},
}

MISC

We have also implemented CL4SRec, Contrastive Learning for Sequential Recommendation. Change the --model="DuoRec" into --model="CL4SRec" in the duorec.sh file to run CL4SRec.

Credit

This repo is based on RecBole.

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