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

19 June 2020

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 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 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 Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
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 Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020