Pairwise Fairness in Ranking as a Dissatisfaction Measure-Reference-Cited by-同舟云学术

Pairwise Fairness in Ranking as a Dissatisfaction Measure

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Fabris Alessandro¹^ORCID,Silvello Gianmaria²^ORCID,Susto Gian Antonio²^ORCID,Biega Asia J.¹^ORCID

Affiliation:

1. Max Planck Institute for Security and Privacy, Bochum, Germany

2. Univesity of Padova, Padova, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570459

Reference47 articles.

1. Designing Fair Ranking Schemes

2. Ricardo Baeza-Yates Berthier Ribeiro-Neto etal 1999. Modern information retrieval. Vol. 463. ACM press New York. Ricardo Baeza-Yates Berthier Ribeiro-Neto et al. 1999. Modern information retrieval. Vol. 463. ACM press New York.

3. Solon Barocas , Anhong Guo , Ece Kamar , Jacquelyn Krones , Meredith Ringel Morris , Jennifer Wortman Vaughan, W. Duncan Wadsworth, and Hanna Wallach. 2021 . Designing Disaggregated Evaluations of AI Systems: Choices, Considerations , and Tradeoffs. ACM, New York, NY, USA , 368--378. https://doi.org/10.1145/3461702.3462610 10.1145/3461702.3462610 Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, and Hanna Wallach. 2021. Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. ACM, New York, NY, USA, 368--378. https://doi.org/10.1145/3461702.3462610

4. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org. Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http://www.fairmlbook.org.

5. Fairness in Recommendation Ranking through Pairwise Comparisons

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