A Web Information Retrieval Optimization Based on Hub Sites
Li Ma, Weiyi Liu · 2009
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.