Graph Learning based Recommender Systems: A Review
Topics: AI (Deep Learning), AI Mode, Graph RAG, Knowledge Graph, LLMO / GEO, Shopping
This paper provides a comprehensive review of Graph Learning based Recommender Systems (GLRS), a fast-growing field that integrates graph learning techniques with recommender systems. The authors discuss how user preferences and item characteristics can be modeled using graph structures and detail the various types of data and graph representations applicable to recommendation tasks. The paper categorizes current research, highlights challenges, reviews algorithmic techniques, and suggests promising future directions.
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