基于图书馆借阅数据分析的图书推荐系统设计与实现

Design and implementation of book recommendation system based on the analysis of library borrowing record

随着出版业的发展,人们可以接触书籍数量达千万种,如何从成千上万种的图书中选择一本适合自己的,成为大部分人必须要考虑的问题。针对这个问题,文章设计了一个基于对用户图书馆借阅记录数据与用户自身属性数据的分析进行图书推荐的推荐系统。首先,文章介绍图书馆图书推荐系统的设计的总体架构;然后,文章介绍了系统的具体功能模块设计;最后,文章分析了系统的特点并阐述了系统的优点。

With the development of publishing, people can contact tens of thousands books. How to find a book suiting for themselves has become a problem many people must think about. In response to this problem, based on analyzing the users＇ book-borrowing record and the data of users＇ property, this paper designs a books recommendation system. Firstly, the system architecture of the books recommendation system is introduced in the paper. Secondly, functional module design of the system is introduced. Finally, the characteristic and advantage of the system are analyzed and expounded in this paper.