摘要
在海量的数字图书馆中,准确迅速地找到符合自身需要的图书是需要解决的主要问题。通过阐述传统的协同过滤算法,分析其特点以及存在的不足,并基于此提出一种改进的协同过滤算法,建立了推荐系统模型并应用到数字图书馆中。
How to enable readers to quickly and accurately find themselves in need of books,in the massive digital library is the main problem of this article.By describing the traditional collaborative filtering algorithms,their characteristics and shortcomings are analyzed,then,a modified collaborative filtering algorithm is given,as well as the establishment of the recommended system model.Finally,this model is applied to a digital library.
出处
《软件导刊》
2010年第5期16-18,共3页
Software Guide
基金
国家科技支撑计划(2007BAD33B05)
关键词
协同过滤
图书推荐系统
数字图书馆
Collaborative Filtering
Book Recommender System
Digital Library
