文章基本信息

标题：LINK BASED CLUSTERING OF WEBPAGES IN INFORMATION RETRIEVAL
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作者：SARASWATHY.R ; SEETHALAKSHMI.R
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：36
期号：2
页码：274-278
出版社：Journal of Theoretical and Applied
摘要：Recently, web search engine plays a vital role in information retrieval. This is the most common tool used for information retrieval on web.However current status of web search engine is far from satisfaction. The results obtained does not contain needed information.To enhance the performance of web search engine, in this paper,Link based search engine for information retrieval using hierarchal clustering of web pages is introduced. In traditional search engine the results obtained is based on ranking mechanism.In link analysis, the relevance of web pages is obtained based on the occurrence of each inlink and outlink of particular web page. Then the web pages are grouped by filtering out irrelevant pages to increase the relevance rate and to reduce the computational time. The experiments of results show that the link analysis along with cluster of web search results is promising.
关键词：Web Pages; Link Analysis; Hierarchal Cluster; Information Retrieval; Web Search Engine.