A Web Information Retrieval Optimization Based on Hub Sites

Author

Ma Li ; Liu Weiyi

Author_Institution

Vocational Sch. of Software Technol., Shenyang Polytech. Coll., Shenyang, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

293

Lastpage

296

Abstract

The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed information from vast number of Web pages. In this paper, we propose a valid approach to find hub sites using hill-climbing algorithms .It uses a fuzzy clustering algorithm based on Web pagespsila contents and link analysis in order to help uses find relevant Web information more easily and precisely. This paper focuses on improving the effectiveness and efficiency of Web search.

Keywords

Web sites; fuzzy set theory; information retrieval; minimisation; pattern clustering; Internet; Web information retrieval optimization; Web page; Web search; fuzzy clustering algorithm; hill-climbing algorithm; hub site minimisation; Clustering algorithms; Computer science; Educational institutions; Information analysis; Information retrieval; Internet; Search engines; Software performance; Web pages; Web search; Hill-climbing; Similarity; Web information retrieval; clustering; hub sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.185

Filename

5169069