"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation

5 September 2020

Papers citing ""And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation"

6 / 6 papers shown

Title
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction Siqi Li Qiming Wu Xin Li Di Miao Chuan Hong ... Michael Hao Chen Mengying Yan Yilin Ning M. Ong Nan Liu 61 2 0 07 Oct 2024
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF Amanda A. Aird Cassidy All Paresha Farastu Elena Stefancova Joshua Sun Nicholas Mattei Robin Burke FaML 46 1 0 10 Sep 2023
Dynamic fairness-aware recommendation through multi-agent social choice Amanda A. Aird Paresha Farastu Joshua Sun Elena Stefancova Cassidy All A. Voida Nicholas Mattei Robin Burke FaML 67 11 0 02 Mar 2023
Who Pays? Personalization, Bossiness and the Cost of Fairness Paresha Farastu Nicholas Mattei Robin Burke FaML 53 2 0 08 Sep 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 129 94 0 23 May 2022
Group Fairness in Bandit Arm Selection Candice Schumann Zhi Lang Nicholas Mattei John P. Dickerson FaML 90 15 0 09 Dec 2019