2021
Learning User Preferences in Non-Stationary Environments
AISTATS 2021poster
Recommendation systems often use online collaborative filtering (CF) algorithms to identify items a given user likes over time, based on ratings that this user and a large number of other users have provided in the past. This problem has been studied extensively when users’ preferences do not change…