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2005.14713
Cited By
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"
50 / 64 papers shown
Title
Enhancing New-item Fairness in Dynamic Recommender Systems
Huizhong Guo
Zhu Sun
Donghai Hong
Tianjun Wei
Jinfeng Li
Jie Zhang
34
0
0
30 Apr 2025
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
64
0
0
20 Apr 2025
Understanding Visual Saliency of Outlier Items in Product Search
F. Sarvi
Mohammad Aliannejadi
Sebastian Schelter
Maarten de Rijke
49
0
0
30 Mar 2025
A Survey of Model Architectures in Information Retrieval
Zhichao Xu
Fengran Mo
Zhiqi Huang
Crystina Zhang
Puxuan Yu
Bei Wang
Jimmy J. Lin
Vivek Srikumar
KELM
3DV
75
2
0
21 Feb 2025
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
Xiaopeng Ye
Chen Xu
Zhongxiang Sun
Jun Xu
Gang Wang
Zhenhua Dong
Ji-Rong Wen
96
0
0
11 Feb 2025
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
47
1
0
03 Jul 2024
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
Zhichen Xiang
Hongke Zhao
Chuang Zhao
Ming He
Jianping Fan
32
1
0
25 Jun 2024
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
Yang Liu
Lu Cheng
FaML
71
3
0
10 Jun 2024
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Arpit Agarwal
Nicolas Usunier
A. Lazaric
Maximilian Nickel
50
3
0
29 May 2024
Language Fairness in Multilingual Information Retrieval
Eugene Yang
Thomas Janich
James Mayfield
Dawn J Lawrie
36
3
0
02 May 2024
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization
Gengyu Lin
Zhen-Qiang Zhou
Qihe Huang
Kuo Yang
Shifen Cheng
Yang Wang
AI4TS
32
1
0
19 Mar 2024
Measuring Bias in a Ranked List using Term-based Representations
Amin Abolghasemi
Leif Azzopardi
Arian Askari
Maarten de Rijke
Suzan Verberne
42
6
0
09 Mar 2024
Intersectional Two-sided Fairness in Recommendation
Yifan Wang
Peijie Sun
Weizhi Ma
Min Zhang
Yuan Zhang
Peng Jiang
Shaoping Ma
FaML
42
8
0
05 Feb 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
Shahed Masoudian
Cornelia Volaucnik
Markus Schedl
Navid Rekabsaz
21
5
0
29 Jan 2024
Seller-side Outcome Fairness in Online Marketplaces
Zikun Ye
Reza Yousefi Maragheh
Lalitesh Morishetti
Shanu Vashishtha
Jason H. D. Cho
Kaushiki Nag
Sushant Kumar
Kannan Achan
FaML
19
1
0
06 Dec 2023
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
Amanda A. Aird
Cassidy All
Paresha Farastu
Elena Stefancova
Joshua Sun
Nicholas Mattei
Robin Burke
FaML
29
1
0
10 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
Inference-time Stochastic Ranking with Risk Control
Ruocheng Guo
Jean-François Ton
Yang Liu
Hang Li
43
2
0
12 Jun 2023
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics
Guy Tennenholtz
Martin Mladenov
Nadav Merlis
Robert L. Axtell
Craig Boutilier
22
0
0
24 May 2023
Mitigating Test-Time Bias for Fair Image Retrieval
Fanjie Kong
Shuai Yuan
Weituo Hao
Ricardo Henao
34
16
0
23 May 2023
The Role of Relevance in Fair Ranking
Aparna Balagopalan
Abigail Z. Jacobs
Asia J. Biega
38
8
0
09 May 2023
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Shashank Gupta
Philipp Hager
Jin Huang
Ali Vardasbi
Harrie Oosterhuis
OffRL
37
5
0
04 May 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
Ruijin Sun
Fengwei Zhou
Zhenhua Dong
Chuanlong Xie
Lanqing Hong
Jiawei Li
Rui-Xun Zhang
Zerui Li
Zhenguo Li
48
2
0
01 Apr 2023
Privacy-Preserving Fair Item Ranking
Jiajun Sun
Sikha Pentyala
Martine De Cock
G. Farnadi
13
3
0
06 Mar 2023
Effective Visualization and Analysis of Recommender Systems
Hao Wang
20
1
0
02 Mar 2023
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
39
11
0
02 Mar 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
32
7
0
18 Jan 2023
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization
Hao Wang
19
5
0
10 Jan 2023
Properties of Group Fairness Metrics for Rankings
Tobias Schumacher
Marlene Lutz
Sandipan Sikdar
M. Strohmaier
27
1
0
29 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
38
4
0
13 Dec 2022
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems
Hao Wang
21
4
0
06 Dec 2022
PoissonMat: Remodeling Matrix Factorization using Poisson Distribution and Solving the Cold Start Problem without Input Data
Hao Wang
22
10
0
06 Dec 2022
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra
Nisheeth K. Vishnoi
31
16
0
30 Nov 2022
Item-based Variational Auto-encoder for Fair Music Recommendation
Jinhyeok Park
Dain Kim
Dongwoo Kim
DRL
17
2
0
24 Oct 2022
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
32
18
0
13 Sep 2022
Causal Intervention for Fairness in Multi-behavior Recommendation
Xi Wang
Wenjie Wang
Fuli Feng
Wenge Rong
Chuantao Yin
Zhang Xiong
CML
17
2
0
10 Sep 2022
Multi-Label Learning to Rank through Multi-Objective Optimization
Debabrata Mahapatra
Chaosheng Dong
Yetian Chen
Deqiang Meng
Michinari Momma
11
13
0
07 Jul 2022
Achievement and Fragility of Long-term Equitability
Andrea Simonetto
Ivano Notarnicola
18
1
0
24 Jun 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Yuta Saito
Thorsten Joachims
13
24
0
15 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
110
41
0
26 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
22
7
0
05 May 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
Ali Vardasbi
F. Sarvi
Maarten de Rijke
27
10
0
28 Apr 2022
Optimizing generalized Gini indices for fairness in rankings
Virginie Do
Nicolas Usunier
15
29
0
02 Apr 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Till Kletti
J. Renders
P. Loiseau
27
17
0
07 Feb 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
Fairness for Robust Learning to Rank
Omid Memarrast
Ashkan Rezaei
Rizal Fathony
Brian Ziebart
FaML
15
11
0
12 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback
Wenjie Wang
Fuli Feng
Xiangnan He
Liqiang Nie
Tat-Seng Chua
NoLa
25
3
0
02 Dec 2021
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
Yiling Jia
Hongning Wang
FaML
OnRL
31
2
0
01 Nov 2021
Two-sided fairness in rankings via Lorenz dominance
Virginie Do
S. Corbett-Davies
Jamal Atif
Nicolas Usunier
FaML
11
50
0
28 Oct 2021
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