A web page ranking method by analyzing hyperlink structure and k-elements

Authors:
Jun Lai;Ben Soh;Chai Fei
Affiliations:
Department of Computer Science and Computer Engineering, LaTrobe University Bundoora, Melbourne, VIC, Australia;Department of Computer Science and Computer Engineering, LaTrobe University Bundoora, Melbourne, VIC, Australia;Beijing Army General Hospital, Beijing, China
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2006

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Abstract

The tremendous growth of the web has created challenges for the search engine technology. In this paper we propose a method for information retrieval and web page ranking by analyzing hyperlink structure on the web graph and the weight of keywords. Hyperlink structure analysis measures page importance by calculating the page weight based on links. This method is not counting links from all pages equally, but by normalizing the number of links on a page. The weight of keywords is computed from the elements, keywords and anchors, which we call K-elements. A linear combination of the hyperlink structure and the weight of keywords is proposed and evaluated to rank web pages. In the evaluation, we take into consideration both the importance and relevance of a page.