Fairness in Recommender Systems: Research Landscape and Future Directions

23 May 2022

Papers citing "Fairness in Recommender Systems: Research Landscape and Future Directions"

8 / 8 papers shown

Title
Recommending the right academic programs: An interest mining approach using BERTopic Alessandro Hill Kalen Goo Puneet Agarwal 49 0 0 11 Jan 2025
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation Zhankui He Zhouhang Xie Harald Steck Dawen Liang Rahul Jha Nathan Kallus Julian McAuley 31 6 0 20 May 2024
Metrics for popularity bias in dynamic recommender systems Valentijn Braun D. Bhaumik Diptish Dey 29 0 0 12 Oct 2023
Fairness Vs. Personalization: Towards Equity in Epistemic Utility Jennifer Chien David Danks FaML 24 3 0 05 Sep 2023
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 100 228 0 21 Apr 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 94 51 0 05 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016