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。
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.
作者
张冉
夏素萍
ZHANG Ran, XIA Su-ping (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)
出处
《电脑知识与技术》
2009年第2期883-885,共3页
Computer Knowledge and Technology