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Opportunistic Multi-aspect Fairness through Personalized Re-ranking

Opportunistic Multi-aspect Fairness through Personalized Re-ranking

21 May 2020
Nasim Sonboli
Farzad Eskandanian
Robin Burke
Weiwen Liu
B. Mobasher
    FaML
ArXiv (abs)PDFHTML

Papers citing "Opportunistic Multi-aspect Fairness through Personalized Re-ranking"

5 / 5 papers shown
Title
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
107
48
0
21 Sep 2022
Who Pays? Personalization, Bossiness and the Cost of Fairness
Who Pays? Personalization, Bossiness and the Cost of Fairness
Paresha Farastu
Nicholas Mattei
Robin Burke
FaML
53
2
0
08 Sep 2022
RecSys Fairness Metrics: Many to Use But Which One To Choose?
RecSys Fairness Metrics: Many to Use But Which One To Choose?
Jessie J. Smith
Lex Beattie
62
4
0
08 Sep 2022
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both
  Customers and Providers
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu
Jian Cao
Guandong Xu
Yudong Tan
FaML
68
86
0
19 Apr 2021
Fairness and Transparency in Recommendation: The Users' Perspective
Fairness and Transparency in Recommendation: The Users' Perspective
Nasim Sonboli
Jessie J. Smith
Florencia Cabral Berenfus
Robin Burke
Casey Fiesler
FaML
70
69
0
16 Mar 2021
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