SLIME4Rec

Code for ICDE 2023 paper, Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation.

Requriements

• Install Python, Pytorch(>=1.8). We use Python 3.8, Pytorch 1.8.
• If you plan to use GPU computation, install CUDA.

Usage

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

• Amazon_Beauty
• Amazon_Clothing_Shoes_and_Jewelry
• Amazon_Sports_and_Outdoors
• ml-1m
• yelp

$ 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

Quick-Strat

Run slime4rec.sh.

Acknowledgement

This repo is developed based on RecBole.

SLIME4Rec