Marginal-Certainty-Aware Fair Ranking Algorithm-Reference-Cited by-同舟云学术

Marginal-Certainty-Aware Fair Ranking Algorithm

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:

Yang Tao¹^ORCID,Xu Zhichao¹^ORCID,Wang Zhenduo¹^ORCID,Tran Anh¹^ORCID,Ai Qingyao²^ORCID

Affiliation:

1. University of Utah, Salt Lake City, UT, USA

2. Tsinghua University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570474

Reference47 articles.

1. Estimating Position Bias without Intrusive Interventions

2. Learning a Deep Listwise Context Model for Ranking Refinement

3. Unbiased Learning to Rank with Unbiased Propensity Estimation

4. Unbiased Learning to Rank

5. 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. 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.

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