Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems-Reference-Cited by-同舟云学术

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Lin Allen¹,Wang Jianling¹,Zhu Ziwei²,Caverlee James¹

Affiliation:

1. Texas A&M University, College Station, TX, USA

2. George Mason University, Fairfax, VA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557423

Reference39 articles.

2. Himan Abdollahpouri and Robin Burke . 2019. Reducing Popularity Bias in Recommendation Over Time. CoRR , Vol. abs/ 1906 .11711 ( 2019 ). [arXiv]1906.11711 http://arxiv.org/abs/1906.11711 Himan Abdollahpouri and Robin Burke. 2019. Reducing Popularity Bias in Recommendation Over Time. CoRR, Vol. abs/1906.11711 (2019). [arXiv]1906.11711 http://arxiv.org/abs/1906.11711

3. Controlling Popularity Bias in Learning-to-Rank Recommendation

4. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019a. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019a. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference.

5. Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019b. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 ( 2019 ). Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019b. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 (2019).

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