图书推荐使用Neo4j图形数据库中的BibTeX图书元数据

I. Dharmawan, R. Sarno
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引用次数: 11

摘要

在数字时代,书籍在生活中扮演着重要的角色。不仅有很多不同用途的书。但是,还有许多图书元数据可以用于其他用途,例如图书推荐。通过处理图书元数据,可以向需要图书推荐的用户提供信息。通过结合BibTeX图书元数据和Neo4j的Graph Database,可以处理元数据中的数据。然后,通过输入作者参数或图书类型参数进行密码查询,用户可以根据输入的条件获得图书推荐。与在关系数据库中手工处理元数据的结果完全相同。从本文来看,Neo4j用作者的条件执行密码查询需要180毫秒,用图书类型的条件执行密码查询需要184毫秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Book recommendation using Neo4j graph database in BibTeX book metadata
In digital era, book has an important role in life. There are not only a lot of books for different purpose. But also, there are many book metadata which can use for another reason, such as book recommendation. By processing the book metadata, an information can be given to user that needs book recommendation. By combining BibTeX book metadata and Graph Database from Neo4j, data from metadata can be processed. Then, with cypher query by inputting author's parameter or book type's parameter, user can get book recommendation based on their input's criteria. The result is exactly the same with process the metadata manually in relational database. Neo4j, from this paper, takes 180 milliseconds to execute cypher query with author's criteria and takes 184 milliseconds to execute cypher query with book type's criteria.
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