Title :
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
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;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.185
