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extended-abstract

Stochastic models for web ranking

Published: 01 December 2007 Publication History
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  • Abstract

    Web search engines need to deal with hundreds and thousands of pages which are relevant to a user's query. Listing them in the right order is an important and non-trivial task. Thus Google introduced PageRank [1] as a popularity measure for Web pages. Besides its primary application in search engines, PageRank also became a major method for evaluating importance of nodes in different informational networks and database systems.

    References

    [1]
    S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. Comput. Networks, 33:107--117, 1998.
    [2]
    A. H. Jessen and T. Mikosch. Regularly varying functions. Publications de l'institut mathematique, Nouvelle série, 79(93), 2006.
    [3]
    N. Litvak, W. R. W. Scheinhardt, and Y. Volkovich. In-degree and PageRank of Web pages: Why do they follow similar power laws? to appear in Internet Math., 2007.
    [4]
    Y. Volkovich, N. Litvak, and D. Donato. Determining factors behind the PageRank log-log plot. Technical Report 1823, University of Twente, Enschede, 2007.

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    Published In

    cover image ACM SIGMETRICS Performance Evaluation Review
    ACM SIGMETRICS Performance Evaluation Review  Volume 35, Issue 3
    December 2007
    73 pages
    ISSN:0163-5999
    DOI:10.1145/1328690
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 December 2007
    Published in SIGMETRICS Volume 35, Issue 3

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