数字图书馆论坛Issue(3)：49-54,6.DOI:10.3772/j.issn.1673-2286.2014.03.007
基于Web挖掘与社会网络分析的用户聚类研究
User Clustering Based on Web Mining and Social Network Analysis
摘要
Abstract
Web user clustering has great significance in personalized service, website structure optimization, etc. In this paper, user clustering method and algorithm based on user access paths and item rating are summarized. The shortage of these studies is pointed out, and then an improved model combined with social network analysis and Web mining is put forward. With an analysis of the necessity and the application strategy, a relatively perfect mechanism of user clustering has come into being.关键词
Web挖掘/社会网络分析/用户聚类Key words
Web mining/Social network analysis/User clustering引用本文复制引用
张敏,刘海鹏,李鹏..基于Web挖掘与社会网络分析的用户聚类研究[J].数字图书馆论坛,2014,(3):49-54,6.基金项目
本文为国家社会科学基金“网络学术社区的信息聚合与共享模式研究”（编号11CTQ038）的研究成果。 （）
