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2110.15781
Cited By
Two-sided fairness in rankings via Lorenz dominance
28 October 2021
Virginie Do
S. Corbett-Davies
Jamal Atif
Nicolas Usunier
FaML
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Papers citing
"Two-sided fairness in rankings via Lorenz dominance"
28 / 28 papers shown
Title
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
Xiaopeng Ye
Chen Xu
Jun Xu
Xuyang Xie
Gang Wang
Zhenhua Dong
FaML
67
0
0
20 Apr 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
105
21
0
24 Feb 2025
Optimal Traffic Allocation for Multi-Slot Sponsored Search: Balance of Efficiency and Fairness
Anastasiia Soboleva
Alexander Ledovsky
Yuriy Dorn
Egor Samosvat
Andrey Tikhanov
Fyodor Prazdnikov
55
0
0
03 Feb 2025
Intuitions of Compromise: Utilitarianism vs. Contractualism
Jared Moore
Yejin Choi
Sydney Levine
43
0
0
07 Oct 2024
Don't Forget What I did?: Assessing Client Contributions in Federated Learning
Bishwamittra Ghosh
Debabrota Basu
Huazhu Fu
Wang Yuan
Renuga Kanagavelu
Jiang Jin Peng
Liu Yong
Goh Siow Mong Rick
Qingsong Wei
FedML
48
0
0
11 Mar 2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
M. H. Dinh
James Kotary
Ferdinando Fioretto
22
0
0
12 Feb 2024
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
M. H. Dinh
James Kotary
Ferdinando Fioretto
34
0
0
07 Feb 2024
Intersectional Two-sided Fairness in Recommendation
Yifan Wang
Peijie Sun
Weizhi Ma
Min Zhang
Yuan Zhang
Peng Jiang
Shaoping Ma
FaML
44
8
0
05 Feb 2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
Hossein A. Rahmani
Mohammadmehdi Naghiaei
Yashar Deldjoo
FaML
55
4
0
01 Feb 2024
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
Yashar Deldjoo
LRM
VLM
56
37
0
19 Jan 2024
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li
Bo Kang
Jefrey Lijffijt
T. D. Bie
FaML
19
2
0
08 Nov 2023
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
David Liu
Jackie Baek
Tina Eliassi-Rad
29
0
0
15 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
37
14
0
29 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal Applications
Zhun Deng
Thomas P. Zollo
Jake C. Snell
T. Pitassi
R. Zemel
19
5
0
25 Sep 2023
Ensuring User-side Fairness in Dynamic Recommender Systems
Hyunsik Yoo
Zhichen Zeng
Jian Kang
Ruizhong Qiu
David Zhou
Zhining Liu
Fei Wang
Charlie Xu
Eunice Chan
Hanghang Tong
18
11
0
29 Aug 2023
Safe Collaborative Filtering
Riku Togashi
Tatsushi Oka
Naoto Ohsaka
Tetsuro Morimura
18
1
0
08 Jun 2023
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
A. Timmaraju
M. Mashayekhi
Mingliang Chen
Qinya Zeng
Quintin Fettes
...
M. Kannadasan
Pushkar Tripathi
Sean M. Gahagan
Miranda Boge
Rob Roudani
14
8
0
05 Jun 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
Bjørnar Vassøy
H. Langseth
FaML
42
5
0
16 May 2023
Fairness in Matching under Uncertainty
Siddartha Devic
David Kempe
Vatsal Sharan
Aleksandra Korolova
FaML
32
6
0
08 Feb 2023
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
48
46
0
21 Sep 2022
Fast online ranking with fairness of exposure
Nicolas Usunier
Virginie Do
Elvis Dohmatob
34
18
0
13 Sep 2022
Who Pays? Personalization, Bossiness and the Cost of Fairness
Paresha Farastu
Nicholas Mattei
Robin Burke
FaML
29
2
0
08 Sep 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Yuta Saito
Thorsten Joachims
15
24
0
15 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Lequn Wang
Thorsten Joachims
30
22
0
30 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law
Thierry Kirat
Olivia Tambou
Virginie Do
A. Tsoukiás
FaML
26
12
0
14 May 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
Mohammadmehdi Naghiaei
Hossein A. Rahmani
Yashar Deldjoo
FaML
47
93
0
17 Apr 2022
Optimizing generalized Gini indices for fairness in rankings
Virginie Do
Nicolas Usunier
15
29
0
02 Apr 2022
Fair ranking: a critical review, challenges, and future directions
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
26
51
0
29 Jan 2022
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