Collaborative Filtering with Entity Similarity Regularization in Heterogeneous Information Networks

Abstract

Abstract Researchers have been studying hybrid recommender systems which combine user-item rating data with external information in recent years. Some studies suggest that by leveraging additional user and/or item relations, eg, social network, the performance of the recommendation models can be improved. These studies, nevertheless, mostly utilize a single type of external relationship. Considering the heterogeneity of real-world ...