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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
ArXivPDFHTML

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

6 / 6 papers shown
Title
Social Choice for Heterogeneous Fairness in Recommendation
Social Choice for Heterogeneous Fairness in Recommendation
Amanda A. Aird
Elena Stefancova
Cassidy All
A. Voida
Martin Homola
Nicholas Mattei
Robin Burke
FaML
63
0
0
06 Oct 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
Fairness Vs. Personalization: Towards Equity in Epistemic Utility
Fairness Vs. Personalization: Towards Equity in Epistemic Utility
Jennifer Chien
David Danks
FaML
27
3
0
05 Sep 2023
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
29
2
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
27
84
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
28
65
0
16 Mar 2021
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