Probabilistic Residual Learning for Online Recommendations

Wenyuan Wang, Yusong Zhao, Zihao Xu +11

Modern recommender systems are typically based on deep learning (DL) models, where a dense encoder learns representations of users and items. As a result, these systems often suffe…