基于协同过滤的图书推荐系统构建研究

Research on the Construction of Book Recommendation System Based on Collaborative Filtering

在当今社会环境下,图书的种类和数量急速增加,读者想要准确、快速地找到自己感兴趣的图书越来越困难。随着信息技术的快速发展,高校图书馆开始借助于数据挖掘技术为读者提供更好的服务,图书推荐系统应运而生。该文将对基于协同过滤的图书推荐系统构建进行研究,主要从图书推荐系统的体系结构、功能结构和核心的协同过滤推荐算法进行研究,为将来实际开发基于协同过滤的图书推荐系统提供理论基础和技术支持。

In today's social environment, the number and type of books are increasing rapidly. It is more and more difficult for read-ers to find the books they are interested in accurately and quickly. With the rapid development of information technology, universi-ty libraries began to use data mining technology to provide readers with better services. Book recommendation system came into be-ing. This paper will study the construction of book recommendation system based on collaborative filtering, mainly from the archi-tecture, function structure and collaborative filtering recommendation algorithm of the book recommendation system, and providetheoretical basis and technical support for the actual development of book recommendation system based on collaborative filteringin the future.