FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval

Author:

Xu Chen1ORCID,Xu Jun1ORCID,Ding Yiming1ORCID,Zhang Xiao1ORCID,Qi Qi1ORCID

Affiliation:

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

Funder

the National Natural Science Foundation of China

Laboratory of Big Data Management and Analysis Methods, Major Innovation & Planning Interdisciplinary Platform for the Double-First Class? Initiative

National Key R&D Program of China

Publisher

ACM

Reference45 articles.

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

2. Learning with Exposure Constraints in Recommendation Systems

3. Asia J Biega, Krishna P Gummadi, and Gerhard Weikum. 2018. Equity of attention: Amortizing individual fairness in rankings. In The 41st international acm sigir conference on research & development in information retrieval. 405--414.

4. Toward Fair Recommendation in Two-sided Platforms

5. Controllable Multi-Interest Framework for Recommendation

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