Pytorch implementation for paper "Counterfactual Multi-player Bandits for Explainable Recommendation Diversification".

• Python 3.9
• pytorch 1.13.0
• cuda 11

1. You may download Amazon Review dataset from https://nijianmo.github.io/amazon/index.html.

2. We provide an example on "CDs and Vinyl" datasets. The pre-processing data within subtopic information are already in the "dataset/CDs" folder.

3. To set the python path, under the project root folder, run:

   source setup.sh
   

4. To train the base recommender: run:

   python scripts/train_base_amazon.py
   

5. To run cmb method, run:

   python scripts/generate_div_amazon.py