no code implementations • 12 Jan 2021 • Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
Using this simulation framework, we can (a) isolate the effect of the recommender system from the user preferences, and (b) examine how the system performs not just on average for an "average user" but also the extreme experiences under atypical user behavior.
no code implementations • 29 Jun 2017 • Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data.
1 code implementation • NeurIPS 2017 • Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data.