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Modeling and Counteracting Exposure Bias in Recommender Systems

Modeling and Counteracting Exposure Bias in Recommender Systems

1 January 2020
Sami Khenissi
O. Nasraoui
    OffRLCML
ArXiv (abs)PDFHTML

Papers citing "Modeling and Counteracting Exposure Bias in Recommender Systems"

10 / 10 papers shown
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
Theodor Stoecker
Samed Bayer
Ingo Weber
148
0
0
28 Aug 2025
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve
  Long-tail Recommendation
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail RecommendationKnowledge Discovery and Data Mining (KDD), 2024
Junda Wu
Cheng-Chun Chang
Tong Yu
Zhankui He
Jianing Wang
Yupeng Hou
Julian McAuley
LRMRALM
286
79
0
11 Mar 2024
Towards Individual and Multistakeholder Fairness in Tourism Recommender
  Systems
Towards Individual and Multistakeholder Fairness in Tourism Recommender SystemsFrontiers in Big Data (FBD), 2023
Ashmi Banerjee
Paromita Banik
Wolfgang Wörndl
287
28
0
05 Sep 2023
Label Denoising through Cross-Model Agreement
Label Denoising through Cross-Model Agreement
Yu Wang
Xin Xin
Zaiqiao Meng
J. Jose
Fuli Feng
NoLa
246
1
0
27 Aug 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo
  Chamber
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo ChamberACM Multimedia (ACM MM), 2023
Rui Hu
Yahan Tu
Jitao Sang
195
3
0
06 May 2023
Debiased Explainable Pairwise Ranking from Implicit Feedback
Debiased Explainable Pairwise Ranking from Implicit FeedbackACM Conference on Recommender Systems (RecSys), 2021
Khalil Damak
Sami Khenissi
O. Nasraoui
243
20
0
30 Jul 2021
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in
  Recommender Systems
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
M. Mansoury
Himan Abdollahpouri
Mykola Pechenizkiy
B. Mobasher
Robin Burke
FaML
127
53
0
07 Jul 2021
Addressing Cognitive Biases in Augmented Business Decision Systems
Addressing Cognitive Biases in Augmented Business Decision Systems
Thomas Baudel
Manon Verbockhaven
Guillaume Roy
Victoire Cousergue
Rida Laarach
96
4
0
17 Sep 2020
Theoretical Modeling of the Iterative Properties of User Discovery in a
  Collaborative Filtering Recommender System
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System
Sami Khenissi
M. Boujelbene
O. Nasraoui
147
25
0
21 Aug 2020
On a Combination of Alternating Minimization and Nesterov's Momentum
On a Combination of Alternating Minimization and Nesterov's MomentumInternational Conference on Machine Learning (ICML), 2019
Sergey Guminov
Pavel Dvurechensky
N. Tupitsa
Alexander Gasnikov
ODL
583
49
0
09 Jun 2019
1
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