Abstract
This article will systematically review the knowledge graph-based recommendation system from three aspects: knowledge graph, recommendation system, and application of knowledge graph and recommendation system. Specifically, it investigates and analyzes related articles in recent years, and summarizes and elaborates on the concepts, construction, and research of knowledge graphs, as well as collaborative filtering recommendation systems and hybrid recommendation systems. On this basis, the application scenarios of the recommendation system based on the knowledge graph are discussed and analyzed. The article summarizes the research work on the recommendation system of knowledge graphs in recent years, and also proposes detailed analysis and prospects based on the application status of different fields.
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