Fairness in Recommendation: Foundations, Methods and Applications

Fairness in Recommendation: Foundations, Methods and Applications

26 May 2022

Juntao Tan

Papers citing "Fairness in Recommendation: Foundations, Methods and Applications"

11 / 11 papers shown

Title
Recommending the right academic programs: An interest mining approach using BERTopic Alessandro Hill Kalen Goo Puneet Agarwal 38 0 0 11 Jan 2025
dsld: A Socially Relevant Tool for Teaching Statistics Taha Abdullah Arjun Ashok Brandon Estrada Norman Matloff Aditya Mittal Norman Matloff Aditya Mittal 31 0 0 06 Nov 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 37 1 0 13 Feb 2024
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems Chandan Kumar Sah Xiaoli Lian Muhammad Mirajul Islam 26 7 0 08 Jan 2024
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 73 14 0 26 May 2022
Achieving Counterfactual Fairness for Causal Bandit Wen Huang Lu Zhang Xintao Wu CML 113 22 0 21 Sep 2021
User Tampering in Reinforcement Learning Recommender Systems Charles Evans Atoosa Kasirzadeh OffRL AAML 89 39 0 09 Sep 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 100 228 0 21 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 112 142 0 05 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016