基于知识图谱和图数据库Neo4j的图书推荐系统研究 Research on Book Recommendation System based on Knowledge Graph and Graph Database of Neo4j
李金阳
摘要(Abstract)：
[目的/意义]在图书馆大数据技术快速发展的背景下，为了应对信息冗余和信息过载产生的问题，本文对面向读者的图书推荐系统展开深入研究。[方法/过程]分析当前图书馆信息推荐工作的现状，并就图数据库用于推荐系统的可行性进行了分析。然后本文借助Protégé软件构建了推荐模型的知识图谱结构，形成知识关联模型；并完成RDF数据到图数据库Neo4j的数据映射，对数据结构内容予以可视化呈现。最后结合实体模型提出推荐算法并进行实例分析。[结果/结论]本文拓展了图书馆推荐系统的研究范畴，所提出的建模思路、技术路线和实现方法对于业内图书推荐系统的研发和推广具有一定的借鉴和参考意义。
关键词(KeyWords)： 推荐系统 知识图谱 图数据库 Neo4j
基金项目(Foundation): 本文系2021年度江苏省图书馆大数据研究课题 “基于图数据库的读者阅读推荐系统设计”（课题编号：2021YYYJ23）的研究成果之一
作者(Author): 李金阳
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