Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings-Reference-Cited by-同舟云学术

Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings

Published:2022-02-11 Issue: Volume: Page:
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Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
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Author:

Kletti Till¹,Renders Jean-Michel¹,Loiseau Patrick²

Affiliation:

1. Naver Labs Europe, Meylan, France

2. Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, Grenoble, France

Funder

ANR

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498490

Reference41 articles.

1. Asia J. Biega , Fernando Diaz , Michael D. Ekstrand , and Sebastian Kohlmeier . 2020 . Overview of the TREC 2020 Fair Ranking Track. In The Twenty-Eighth Text REtrieval Conference (TREC 2020) Proceedings . Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, and Sebastian Kohlmeier. 2020. Overview of the TREC 2020 Fair Ranking Track. In The Twenty-Eighth Text REtrieval Conference (TREC 2020) Proceedings .

2. Equity of Attention

3. �ber den Variabilit�tsbereich der Koeffizienten von Potenzreihen, die gegebene Werte nicht annehmen

4. A dynamic bayesian network click model for web search ranking

5. Click Models for Web Search

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