A Novel Heuristic PageRank Algorithm in Web Search

Yan Li He

doi:10.4028/www.scientific.net/AMR.216.747

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 216A Novel Heuristic PageRank Algorithm in Web Search

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.

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Periodical:

Advanced Materials Research (Volume 216)

Pages:

747-751

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.216.747

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Online since:

March 2011

Authors:

Yan Li He

Keywords:

Hyperlink Induced Topic Search, Page Rank, Web Search

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References

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