Liang Tang

An Empirical Study on Recommendation with Multiple Types of Feedback

2016

User feedback like clicks and ratings on recommended items provides important information for recommender systems to predict users' interests in unseen items. Most systems rely on models trained using a single type of feedback, e.g., …