Research Summary of Recommendation System Based on Knowledge Graph
Research Summary of Recommendation System Based on Knowledge Graph
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DOI：
10.1145/3468920.3468935
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发表时间：
2021-05
期刊：
影响因子：
--
通讯作者：
Xiaoxi He;Xinsheng Ke
中科院分区：
文献类型：
--
作者：
Xiaoxi He;Xinsheng Ke
本文将从知识图、推荐系统、知识图与推荐系统的应用三个方面对基于知识图的推荐系统进行系统的综述。具体而言，对近年来的相关文献进行了调研和分析，对知识图的概念、构建和研究，以及协同过滤推荐系统和混合推荐系统进行了总结和阐述。在此基础上，对基于知识图的推荐系统的应用场景进行了探讨和分析。文章总结了近年来知识图推荐系统的研究工作，并根据不同领域的应用现状提出了详细的分析和展望。
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.