Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning

22 Jun 2019Weiping SongZhijian DuanZiqing YangHao ZhuMing ZhangJian Tang

This paper studies recommender systems with knowledge graphs, which can effectively address the problems of data sparsity and cold start. Recently, a variety of methods have been developed for this problem, which generally try to learn effective representations of users and items and then match items to users according to their representations... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.