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International Symposium on String Processing and Information Retrieval

SPIRE 2010: String Processing and Information Retrieval pp 1–12Cite as

Querying the Web Graph

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6393))

Abstract

This paper focuses on using hyperlinks in the ranking of web search results. We give a brief overview of the vast body of work in the area; we provide a quantitative comparison of the different features; we sketch how link-based ranking features can be implemented in large-scale search engines; and we identify promising avenues for future research.

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Author information

Authors and Affiliations

  1. Microsoft Research, 1065 La Avenida, Mountain View, CA, USA

    Marc Najork

Authors
  1. Marc Najork
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Editor information

Editors and Affiliations

  1. School of Physics and Mathematics, Edificio "B", Universidad Michoacana, Ciudad Universitaria, 5800, Morelia, Mich., Mexico

    Edgar Chavez

  2. Dept. of Computer Science and Enginerring, University of California, 92521, Riverside, CA, USA

    Stefano Lonardi

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Najork, M. (2010). Querying the Web Graph. In: Chavez, E., Lonardi, S. (eds) String Processing and Information Retrieval. SPIRE 2010. Lecture Notes in Computer Science, vol 6393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16321-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-16321-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16320-3

  • Online ISBN: 978-3-642-16321-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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