Detection of Groups with Biased Representation in Ranking-Reference-Cited by-同舟云学术

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Detection of Groups with Biased Representation in Ranking

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
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Author:

Li Jinyang¹,Moskovitch Yuval²,Jagadish H. V.¹

Affiliation:

1. University of Michigan

2. Ben Gurion University of the Negev

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184513.pdf?arnumber=10184513

Reference40 articles.

1. Using data mining to predict secondary school student performance;cortez,2008

2. Fairness of Exposure in Rankings

3. Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach

4. A VALUE FOR 𝑛-PERSON GAMES

5. Conditional functional dependencies for capturing data inconsistencies

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1. Intersectional fair ranking via subgroup divergence;Data Mining and Knowledge Discovery;2024-05-21

2. When Data Pricing Meets Non-Cooperative Game Theory;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. LT²R: Learning to Online Learning to Rank for Web Search;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Fair Top-k Query on Alpha-Fairness;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Uncovering the Propensity Identification Problem in Debiased Recommendations;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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