Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems

Allen Lin, Jianling Wang, Ziwei Zhu 0001, James Caverlee. Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. In Mohammad Al Hasan, Li Xiong 0001, editors, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. pages 1238-1247, ACM, 2022. [doi]

@inproceedings{LinW0C22,
  title = {Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems},
  author = {Allen Lin and Jianling Wang and Ziwei Zhu 0001 and James Caverlee},
  year = {2022},
  doi = {10.1145/3511808.3557423},
  url = {https://doi.org/10.1145/3511808.3557423},
  researchr = {https://researchr.org/publication/LinW0C22},
  cites = {0},
  citedby = {0},
  pages = {1238-1247},
  booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  editor = {Mohammad Al Hasan and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9236-5},
}