Modeling and Counteracting Exposure Bias in Recommender Systems

1 January 2020

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

9 / 9 papers shown

Title
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation Junda Wu Cheng-Chun Chang Tong Yu Zhankui He Jianing Wang Yupeng Hou Julian McAuley LRM RALM 90 27 0 11 Mar 2024
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 59 14 0 05 Sep 2023
Label Denoising through Cross-Model Agreement Yu Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 49 1 0 27 Aug 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber Rui Hu Yahan Tu Jitao Sang 82 2 0 06 May 2023
Debiased Explainable Pairwise Ranking from Implicit Feedback Khalil Damak Sami Khenissi O. Nasraoui 71 17 0 30 Jul 2021
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems M. Mansoury Himan Abdollahpouri Mykola Pechenizkiy B. Mobasher Robin Burke FaML 46 45 0 07 Jul 2021
Addressing Cognitive Biases in Augmented Business Decision Systems Thomas Baudel Manon Verbockhaven Guillaume Roy Victoire Cousergue Rida Laarach 50 3 0 17 Sep 2020
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System Sami Khenissi M. Boujelbene O. Nasraoui 49 23 0 21 Aug 2020
On a Combination of Alternating Minimization and Nesterov's Momentum Sergey Guminov Pavel Dvurechensky N. Tupitsa Alexander Gasnikov ODL 155 45 0 09 Jun 2019