156 citations · 199 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 22 cited
Measuring Recommender System Effects with Simulated Users
Sirui Yao, Yoni Halpern, Nithum Thain +6
Imagine a food recommender system -- how would we check if it is \emph{causing} and fostering unhealthy eating habits or merely reflecting users' interests? How much of a user's ex…
cs.CY2017★ 21 cited
New Fairness Metrics for Recommendation that Embrace Differences
Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data. Biased data can lead collaborative filtering…
cs.IR2017★ 156 cited
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data. Biased data can lead collaborative-filtering…