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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
ArXivPDFHTML

Papers citing "Controlling Fairness and Bias in Dynamic Learning-to-Rank"

50 / 64 papers shown
Title
Enhancing New-item Fairness in Dynamic Recommender Systems
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
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
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
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
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
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
49
1
0
03 Jul 2024
Performative Debias with Fair-exposure Optimization Driven by Strategic
  Agents in Recommender Systems
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
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
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
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
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
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
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
Effective Controllable Bias Mitigation for Classification and Retrieval
  using Gate Adapters
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
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
22
1
0
06 Dec 2023
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
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
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
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
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
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
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
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
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
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
Effective Visualization and Analysis of Recommender Systems
Hao Wang
20
1
0
02 Mar 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
39
11
0
02 Mar 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and
  Mitigation
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
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
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
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
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
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
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
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
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
Fast online ranking with fairness of exposure
Nicolas Usunier
Virginie Do
Elvis Dohmatob
34
18
0
13 Sep 2022
Causal Intervention for Fairness in Multi-behavior Recommendation
Causal Intervention for Fairness in Multi-behavior Recommendation
Xi Wang
Wenjie Wang
Fuli Feng
Wenge Rong
Chuantao Yin
Zhang Xiong
CML
19
2
0
10 Sep 2022
Multi-Label Learning to Rank through Multi-Objective Optimization
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
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
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Yuta Saito
Thorsten Joachims
15
24
0
15 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
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
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
24
7
0
05 May 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for
  Fairness in Ranking
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
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
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Till Kletti
J. Renders
P. Loiseau
29
17
0
07 Feb 2022
Fair ranking: a critical review, challenges, and future directions
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
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
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
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
Two-sided fairness in rankings via Lorenz dominance
Virginie Do
S. Corbett-Davies
Jamal Atif
Nicolas Usunier
FaML
13
50
0
28 Oct 2021
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