Implementation for BIR and XIR

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever, NeurIPS 2022

Datasets

Data Link

dataurl https://drive.google.com/drive/folders/1ahiLmzU7cGRPXf5qGMqtAChte2eYp9gI

Preprocess

1. Edit datasets/raw_data/XXX/XXX.yaml
2. Rewrite&Run datasets/data_preprocess/inter2mtx.py
3. The data file is saved in datasets/clean_data

Algs

• --debias 1 : SSL
• --debias 2 : SSL-Pop
• --debias 4 : MNS
• --debias 7 : G-Tower
• --debias 3 : BIR, inbatch importance resampling
• --debias 8 : XIR, cache-augmented inbatch importance sampling

Run Examples

• See files bash_run.sh

Requirements

• See requirement.txt
• or manually update packages