User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets

4 October 2020

Papers citing "User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets"

16 / 16 papers shown

Title
A Tutorial On Intersectionality in Fair Rankings Chiara Criscuolo Davide Martinenghi Giuseppe Piccirillo FaML 74 0 0 07 Feb 2025
Policy Design for Two-sided Platforms with Participation Dynamics Haruka Kiyohara Fan Yao Sarah Dean 66 1 0 03 Feb 2025
Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings Phuong Dinh Mai Duc-Trong Le Tuan-Anh Hoang Dung D. Le 41 0 0 22 Feb 2024
Performative Recommendation: Diversifying Content via Strategic Incentives Itay Eilat Nir Rosenfeld 48 7 0 08 Feb 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 32 6 0 08 Feb 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
Matching Consumer Fairness Objectives & Strategies for RecSys Michael D. Ekstrand M. S. Pera FaML 32 3 0 06 Sep 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 41 35 0 17 May 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems Mohammadmehdi Naghiaei Hossein A. Rahmani Yashar Deldjoo FaML 47 93 0 17 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 29 17 0 07 Feb 2022
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 29 49 0 03 Mar 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,125 0 25 Jul 2012