A Taxation Perspective for Fair Re-ranking

Author:

Xu Chen1ORCID,Ye Xiaopeng1ORCID,Wang Wenjie2ORCID,Pang Liang3ORCID,Xu Jun1ORCID,Chua Tat-Seng2ORCID

Affiliation:

1. Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China

2. NExT++ Research Center, National University of Singapore, Singapore, Singapore

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

Youth Innovation Promotion Association CAS

National Key R\&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference53 articles.

1. Multistakeholder recommendation: Survey and research directions

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

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

4. Santiago Balseiro, Haihao Lu, and Vahab Mirrokni. 2021. Regularized online allocation problems: Fairness and beyond. In International Conference on Machine Learning. PMLR, 630--639.

5. Omer Ben-Porat and Moshe Tennenholtz. 2018. A game-theoretic approach to recommendation systems with strategic content providers. Advances in Neural Information Processing Systems, Vol. 31 (2018).

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