A Survey on Knowledge Graph-Based Recommender Systems

Abstract

To solve the cognitive overlord problem and information explosion, recommender systems have been using to model the user interest. Although recommender systems have been developed for decades, there still exists many problems such as cold start and data sparsity. Thus, the knowledge graph is introduced into the recommendation domain to alleviate these problems. We collect papers related to the knowledge graph-based recommender systems in recent years to summarize their fundamental knowledge and main ideas, including the usage of the knowledge graph in the recommender systems and user interest models. Finally, we propose several future directions aiming to make some progress.

Topics & Concepts