This repository contains Pytorch implementation of our paper:

Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li. Comparison-based Conversational Recommender System with Relative Bandit Feedback, SIGIR 2021.

We develop using Python 3.7.6 and Pytorch 1.5.1. To create datasets used in the experiments, LIBMF is needed. Datasets can also be downloaded via Google Drive.

• 2021/12/14: We found a bug related to difference-type algorithms, which has a negative impact on the final performance. It is now fixed.

If you use this code for your research, please cite our work:

@inproceedings{xie2021comparison,
  title={Comparison-based Conversational Recommender System with Relative Bandit Feedback},
  author={Xie, Zhihui and Yu, Tong and Zhao, Canzhe and Li, Shuai},
  booktitle={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={1400--1409},
  year={2021}
}