Hong-Jian Xue

Deep Matrix Factorization Models for Recommender Systems

2017

Recommender systems usually make personalized recommendation with user-item interaction ratings, implicit feedback and auxiliary information. Matrix factorization is the basic idea to predict a personalized ranking over a set of items for an individual user …