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Fair ranking: a critical review, challenges, and future directions

Fair ranking: a critical review, challenges, and future directions

Conference on Fairness, Accountability and Transparency (FAccT), 2022
29 January 2022
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
ArXiv (abs)PDFHTML

Papers citing "Fair ranking: a critical review, challenges, and future directions"

20 / 20 papers shown
Title
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning
J. Zhang
Yuyuan Li
Xiaohua Feng
Zhifei Ren
Li Zhang
Chaochao Chen
86
0
0
23 Nov 2025
T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
Xuejun Chang
Zaiqiao Meng
Debasis Ganguly
72
0
0
29 Aug 2025
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query RefinementEuropean Conference on Information Retrieval (ECIR), 2025
F. Chen
Hui Fang
228
1
0
27 Mar 2025
Social Choice for Heterogeneous Fairness in Recommendation
Social Choice for Heterogeneous Fairness in RecommendationACM Conference on Recommender Systems (RecSys), 2024
Amanda A. Aird
Elena Stefancova
Cassidy All
A. Voida
Martin Homola
Nicholas Mattei
Robin Burke
FaML
222
3
0
06 Oct 2024
A Unified Causal Framework for Auditing Recommender Systems for Ethical
  Concerns
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
Vibhhu Sharma
Shantanu Gupta
Nil-Jana Akpinar
Zachary C. Lipton
Liu Leqi
CMLMLAU
142
0
0
20 Sep 2024
Fair Clustering: Critique, Caveats, and Future Directions
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
180
3
0
22 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Y. Liu
Lu Cheng
FaML
417
5
0
10 Jun 2024
Sampling Individually-Fair Rankings that are Always Group Fair
Sampling Individually-Fair Rankings that are Always Group FairAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Sruthi Gorantla
Anay Mehrotra
Amit Deshpande
Anand Louis
FedMLFaML
128
4
0
21 Jun 2023
Subset Selection Based On Multiple Rankings in the Presence of Bias:
  Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score FunctionsInternational Conference on Machine Learning (ICML), 2023
Niclas Boehmer
L. E. Celis
Lingxiao Huang
Anay Mehrotra
Nisheeth K. Vishnoi
172
6
0
16 Jun 2023
The Role of Relevance in Fair Ranking
The Role of Relevance in Fair RankingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Aparna Balagopalan
David Bau
Asia J. Biega
143
9
0
09 May 2023
Maximizing Submodular Functions for Recommendation in the Presence of
  Biases
Maximizing Submodular Functions for Recommendation in the Presence of BiasesThe Web Conference (WWW), 2023
Anay Mehrotra
Nisheeth K. Vishnoi
137
10
0
03 May 2023
Dynamic fairness-aware recommendation through multi-agent social choice
Dynamic fairness-aware recommendation through multi-agent social choice
Amanda A. Aird
Paresha Farastu
Joshua Sun
Elena Stefancova
Cassidy All
A. Voida
Nicholas Mattei
Robin Burke
FaML
181
16
0
02 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
301
26
0
14 Feb 2023
Fairness in Matching under Uncertainty
Fairness in Matching under UncertaintyInternational Conference on Machine Learning (ICML), 2023
Siddartha Devic
David Kempe
Willie Neiswanger
Aleksandra Korolova
FaML
173
6
0
08 Feb 2023
Assessing the Impact of Music Recommendation Diversity on Listeners: A
  Longitudinal Study
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Lorenzo Porcaro
Emilia Gómez
Carlos Castillo
129
10
0
01 Dec 2022
Fair Ranking with Noisy Protected Attributes
Fair Ranking with Noisy Protected AttributesNeural Information Processing Systems (NeurIPS), 2022
Anay Mehrotra
Nisheeth K. Vishnoi
217
22
0
30 Nov 2022
RecSys Fairness Metrics: Many to Use But Which One To Choose?
RecSys Fairness Metrics: Many to Use But Which One To Choose?
Jessie J. Smith
Lex Beattie
147
4
0
08 Sep 2022
Supply-Side Equilibria in Recommender Systems
Supply-Side Equilibria in Recommender SystemsNeural Information Processing Systems (NeurIPS), 2022
Meena Jagadeesan
Nikhil Garg
Jacob Steinhardt
233
41
0
27 Jun 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in
  Ranking
Fair Ranking as Fair Division: Impact-Based Individual Fairness in RankingKnowledge Discovery and Data Mining (KDD), 2022
Yuta Saito
Thorsten Joachims
204
29
0
15 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Zelong Li
FaMLOffRL
456
77
0
26 May 2022
1