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Achieving Fairness via Post-Processing in Web-Scale Recommender Systems

Achieving Fairness via Post-Processing in Web-Scale Recommender Systems

Preetam Nandy
Cyrus DiCiccio
Divya Venugopalan
Heloise Logan
Kinjal Basu
N. Karoui
    FaML
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Papers citing "Achieving Fairness via Post-Processing in Web-Scale Recommender Systems"

6 / 6 papers shown
Title
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
Chenglei Shen
Xiao Zhang
Teng Shi
Changshuo Zhang
Guofu Xie
Jun Xu
76
5
0
03 Jan 2025
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
32
21
0
16 May 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
38
4
0
13 Dec 2022
FairCanary: Rapid Continuous Explainable Fairness
FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh
Aalok Shanbhag
Christo Wilson
11
20
0
13 Jun 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
492
0
31 Dec 2020