协同过滤算法在图书推荐系统中的应用

The Application of Collaborative Filtering Algorithm in Books Recommendation System

高校图书馆中收藏了大量文献资料,面对海量的馆藏资源,传统的借阅方式已无法满足读者的需求。文章主要研究以用户为基础的协同过滤算法在图书推荐系统中的应用,并考虑时间变化、用户特征等对用户兴趣的影响,从而对推荐算法进行改进,提高图书推荐效率,为读者提供更好的服务。

A large number of literature and materials are collected in college libraries.In the face of the massive collection of resources,the traditional borrowing method can no longer meet the needs of readers.This paper focuses on the application of user-based collaborative filtering algorithm in books recommendation system,and considers the influence of time change,user characteristics and other user interests,so as to improve the recommendation algorithm,improve the efficiency of books recommendation,and provide better services for readers.