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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

7 July 2021
M. Mansoury
Himan Abdollahpouri
Mykola Pechenizkiy
B. Mobasher
Robin Burke
    FaML
ArXivPDFHTML

Papers citing "A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems"

13 / 13 papers shown
Title
Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
Raoul Kalisvaart
Masoud Mansoury
Alan Hanjalic
Elvin Isufi
51
0
0
21 Mar 2025
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender
  Systems: Insights and Future Research
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
Falguni Roy
Xiaofeng Ding
K. -K. R. Choo
Pan Zhou
FaML
33
0
0
19 Sep 2024
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced
  Music Recommendations
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
Armin Moradi
Nicola Neophytou
G. Farnadi
27
0
0
27 May 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
53
8
0
05 Feb 2024
FEIR: Quantifying and Reducing Envy and Inferiority for Fair
  Recommendation of Limited Resources
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li
Bo Kang
Jefrey Lijffijt
T. D. Bie
FaML
26
2
0
08 Nov 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music
  Discovery
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
Rebecca Salganik
Fernando Diaz
G. Farnadi
31
4
0
28 Aug 2023
A Survey on Fairness-aware Recommender Systems
A Survey on Fairness-aware Recommender Systems
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
44
42
0
01 Jun 2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Exploring and Exploiting Data Heterogeneity in Recommendation
Zimu Wang
Jiashuo Liu
Hao Zou
Xingxuan Zhang
Yue He
Dongxu Liang
Peng Cui
44
2
0
21 May 2023
Systemic Fairness
Systemic Fairness
Arindam Ray
B. Padmanabhan
Lina Bouayad
FaML
35
0
0
14 Apr 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network
  Approaches for Recommender Systems
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
35
14
0
18 Jan 2023
Policy Optimization with Advantage Regularization for Long-Term Fairness
  in Decision Systems
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yang Yu
Zhizhen Qin
Min Kyung Lee
Sicun Gao
OffRL
46
15
0
22 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
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
314
0
30 Oct 2017
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