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Controlling Fairness and Bias in Dynamic Learning-to-Rank

Controlling Fairness and Bias in Dynamic Learning-to-Rank

29 May 2020
Marco Morik
Ashudeep Singh
Jessica Hong
Thorsten Joachims
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Papers citing "Controlling Fairness and Bias in Dynamic Learning-to-Rank"

14 / 64 papers shown
Title
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
Junfeng Fang
FaML
157
95
0
12 Sep 2021
Recommendation Fairness: From Static to Dynamic
Recommendation Fairness: From Static to Dynamic
De-Fu Zhang
Jun Wang
OffRL
24
15
0
05 Sep 2021
Estimation of Fair Ranking Metrics with Incomplete Judgments
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kirnap
Fernando Diaz
Asia J. Biega
Michael D. Ekstrand
Ben Carterette
Emine Yilmaz
29
37
0
11 Aug 2021
Fairness in Ranking under Uncertainty
Fairness in Ranking under Uncertainty
Ashudeep Singh
David Kempe
Thorsten Joachims
33
49
0
14 Jul 2021
Subgroup Fairness in Two-Sided Markets
Subgroup Fairness in Two-Sided Markets
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
27
2
0
04 Jun 2021
When Fair Ranking Meets Uncertain Inference
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh
Ritam Dutt
Christo Wilson
39
44
0
05 May 2021
Societal Biases in Retrieved Contents: Measurement Framework and
  Adversarial Mitigation for BERT Rankers
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers
Navid Rekabsaz
Simone Kopeinik
Markus Schedl
24
60
0
28 Apr 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both
  Customers and Providers
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu
Jian Cao
Guandong Xu
Yudong Tan
FaML
27
84
0
19 Apr 2021
Fairness Through Regularization for Learning to Rank
Fairness Through Regularization for Learning to Rank
Nikola Konstantinov
Christoph H. Lampert
FaML
21
10
0
11 Feb 2021
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay
  of Human and Algorithmic Biases in Online Hiring
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
Tom Sühr
Sophie Hilgard
Himabindu Lakkaraju
12
50
0
01 Dec 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided
  Markets
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets
Lequn Wang
Thorsten Joachims
FaML
16
59
0
04 Oct 2020
Fairness-Aware Online Personalization
Fairness-Aware Online Personalization
G. R. Lal
S. Geyik
K. Kenthapadi
FaML
13
3
0
30 Jul 2020
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Preetam Nandy
Cyrus DiCiccio
Divya Venugopalan
Heloise Logan
Kinjal Basu
N. Karoui
FaML
13
30
0
19 Jun 2020
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Himank Yadav
Zhengxiao Du
Thorsten Joachims
9
42
0
19 Nov 2019
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