Learning to Recommend from Sparse Data via Generative User Feedback

Wenlin Wang, Hongteng Xu, Ruiyi Zhang +3

Traditional collaborative filtering (CF) based recommender systems tend to perform poorly when the user-item interactions/ratings are highly scarce. To address this, we propose a l…