User Welfare Optimization in Recommender Systems with Competing Content Creators-Reference-Cited by-同舟云学术

User Welfare Optimization in Recommender Systems with Competing Content Creators

Published:2024-08-24 Issue: Volume:31 Page:3874-3885
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yao Fan¹^ORCID,Liao Yiming²^ORCID,Wu Mingzhe³^ORCID,Li Chuanhao⁴^ORCID,Zhu Yan⁵^ORCID,Yang James⁶^ORCID,Liu Jingzhou⁶^ORCID,Wang Qifan⁶^ORCID,Xu Haifeng⁷^ORCID,Wang Hongning¹^ORCID

Affiliation:

1. University of Virginia, Charlottesville, USA

2. Meta Platforms, Inc., New York, USA

3. University of Southern California, Los Angeles, USA

4. Yale University, New Haven, USA

5. Google, Mountain View, USA

6. Meta Platforms, Inc., Menlo Park, USA

7. University of Chicago, Chicago, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3672021

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