107 citations · 107 across the 3 of their papers we have counts for
3 papers
cs.IR2023
Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms
Lex Beattie, Isabel Corpus, Lucy H. Lin +1
We present a novel evaluation framework for representation bias in latent factor recommendation (LFR) algorithms. Our framework introduces the concept of attribute association bias…
cs.HC2022
RecSys Fairness Metrics: Many to Use But Which One To Choose?
Jessie J. Smith, Lex Beattie
In recent years, recommendation and ranking systems have become increasingly popular on digital platforms. However, previous work has highlighted how personalized systems might lea…
cs.IR2022★ 107 cited
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar +18
Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effe…