Paper Title:
A Novel Heuristic PageRank Algorithm in Web Search
  Abstract

With the booming development of the Internet, web search engines have become the most important Internet tools for retrieving information. PageRank computes the principal eigenvector of the matrix describing the hyperlinks in the web using the famous power method. Based on empirical distributions of Web page degrees, we derived analytically the probability distribution for the PageRank metric. We found out that it follows the familiar inverse polynomial law reported for Web page degrees.

  Info
Periodical
Edited by
Yuhang Yang, Xilong Qu, Yiping Luo and Aimin Yang
Pages
747-751
DOI
10.4028/www.scientific.net/AMR.216.747
Citation
Y. L. He, "A Novel Heuristic PageRank Algorithm in Web Search", Advanced Materials Research, Vol. 216, pp. 747-751, 2011
Online since
March 2011
Authors
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