Improvement of PageRank Algorithm for Search Engine
Ling Pei-liang · Jisuanji gongcheng · 2009
In order to solve the problems in information retrieval when enterprise making rapid decision, this paper proposes an improved PageRank algorithm. Considering the time factor by Web page, it distributes the forward link different PageRank value based on the proportion by the similarity analysis between anchor text and Web page text. The final PageRank value is more suitable for topic-specific search engine and keeps simplicity of algorithm. Experimental result shows that the improved algorithm can effectively reduce the phenomenon of topic-drift and enhance the PageRank value of new Web page.