面向用户的高校图书推荐系统改进研究

Research on the Improvement of User-oriented Book Recommendation System for University Library

在信息化社会加速发展的时代,大数据对人们的信息需求提供了保障,但是信息的利用率并没有因此得到提高,而信息过载却成为读者借阅过程中的障碍。通过系统需求分析和可行性分析,对现有的图书馆图书推荐系统进行了改进,预期可实现面向用户的个性化推荐功能并打造出互动性阅读社区,最终构建一个高效、实用的图书馆图书推荐系统。

In the era of accelerated development of information society,big data provides protection for people＇s information demand,but the utilization of information has not been improved,and the information overload becomes the obstacle in the process of readers＇ borrowing and returning. Through the system demand analysis and feasibility analysis,this paper makes the improvement of the existing book recommendation system of university library,expecting to realize user-oriented book recommendation function and to create an interactive reading community,and eventually to build an efficient and practical book recommendation system of university library.