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基于二部图法的Web知识社群挖掘 被引量:2

Excavation of Web Knowledge Association Based on Bipartite Graph
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摘要 二部图法分析模型是将Web页的内容信息和超链接信息相结合给出的一种基于分类方法的算法,利用二部图可以求出网页的最大匹配与完全匹配,挖掘出隐含的知识社群,能更准确地实现对用户的合理定位。 The analysis model of bipartite graph is to combine the content information on Web page and hyper - chain information, so as to provide an algorism based on classification method. By using bipartite graph,one can work out the Website' s maximum matching and complete matching. This method can also help excavate the implicit knowledge association and locate accurately the reasonable orientation of the users.
出处 《现代图书情报技术》 CSSCI 北大核心 2007年第4期39-42,共4页 New Technology of Library and Information Service
基金 教育部科学技术基金研究重点项目"Web用户数据挖掘研究"(项目编号:70312006)的研究成果之一
关键词 二部图法 知识社群 WEB挖掘 Bipartite graph Knowledge association Web excavation
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