Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems

Xiaolin Zheng, Rui Wu, Zhongxuan Han +3

Recommender systems are fundamental information filtering techniques to recommend content or items that meet users' personalities and potential needs. As a crucial solution to addr…