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一种基于空间向量模型的主题PageRank算法
引用本文:张冉,夏素萍.一种基于空间向量模型的主题PageRank算法[J].数字社区&智能家居,2009,5(2):883-885.
作者姓名:张冉  夏素萍
作者单位:[1]新疆财经大学统计与信息管理学院,新疆乌鲁木齐830011 [2]新疆建设职业技术学院计算机系,新疆乌鲁木齐830054
摘    要:该文基于传统的PageRank链接分析原理,分析了PageRank在页面主题内容分析方面的不足之处,结合传统的基于内容的VSM文本分析模型.提出了一种基于向量空间模型的主题算法,并通过实验对改算法的性能进行分析。

关 键 词:PageRank  VSM  网页排序  搜索引擎

A Vector Space Model Based Topic PageRank Algorithm
ZHANG Ran,XIA Su-ping.A Vector Space Model Based Topic PageRank Algorithm[J].Digital Community & Smart Home,2009,5(2):883-885.
Authors:ZHANG Ran  XIA Su-ping
Affiliation:(Department of Statistic and Information Management, Xinjiang University of Finance Economics, Urumuqi 830011, China; 2.Department of Computer, Xinjiang Technical College of Building, Urumuqi 830054, .China)
Abstract:The article base on the principle of traditional PageRank, discussed the shortage of the PageRank in topic rank. Combination of traditional content-based VSM model, a vector space model based topic PageRank algorithm is presented. At last, the conclusions were summarized and future research directions were discussed.
Keywords:PageRank  VSM  Web page ranking  search engine
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