708 citations · 735 across the 3 of their papers we have counts for
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cs.CY2019
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi +8
Recommender systems are one of the most pervasive applications of machine learning in industry, with many services using them to match users to products or information. As such it…
cs.LG2019★ 27 cited
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi +6
As more researchers have become aware of and passionate about algorithmic fairness, there has been an explosion in papers laying out new metrics, suggesting algorithms to address i…