PyTorch implementation for paper: Contrastive Meta Learning with Behavior Multiplicity forRecommendation
- Python 3.6
- torch==1.8.1+cu111
- scipy==1.6.2
- tqdm==4.61.2
- IJCAI contest: https://tianchi.aliyun.com/dataset/dataDetail?dataId=47
- Retail Rocket: https://www.kaggle.com/retailrocket/ecommerce-dataset
- Tmall: https://tianchi.aliyun.com/dataset/dataDetail?dataId=649
- mkdir /History
- mkdir /Model
- make preprocessing meta data
If you want to use our codes in your research, please cite:
@article{CML22,
title = {Contrastive Meta Learning with Behavior Multiplicity forRecommendation},
author = {}