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International Conference on Web Information Systems Engineering

WISE 2005: Web Information Systems Engineering – WISE 2005 pp 43–52Cite as

Temporal Ranking of Search Engine Results

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3806))

Abstract

Existing search engines contain the picture of the Web from the past and their ranking algorithms are based on data crawled some time ago. However, a user requires not only relevant but also fresh information. We have developed a method for adjusting the ranking of search engine results from the point of view of page freshness and relevance. It uses an algorithm that post-processes search engine results based on the changed contents of the pages. By analyzing archived versions of web pages we estimate temporal qualities of pages, that is, general freshness and relevance of the page to the query topic over certain time frames. For the top quality web pages, their content differences between past snapshots of the pages indexed by a search engine and their present versions are analyzed. Basing on these differences the algorithm assigns new ranks to the web pages without the need to maintain a constantly updated index of web documents.

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Author information

Authors and Affiliations

  1. National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, Soraku-gun, 619-0289, Kyoto, Japan

    Adam Jatowt & Yukiko Kawai

  2. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan

    Katsumi Tanaka

Authors
  1. Adam Jatowt
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  2. Yukiko Kawai
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  3. Katsumi Tanaka
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Editor information

Editors and Affiliations

  1. Texas State University, San Marcos, TX,  

    Anne H. H. Ngu

  2. Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, 153-8505, Tokyo, Japan

    Masaru Kitsuregawa

  3. University of Vienna, Vienna, Austria

    Erich J. Neuhold

  4. IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, 10598, New York, Yorktown Heights, USA

    Jen-Yao Chung

  5. School of Computer Science and Engineering, University of New South Wales, NSW 2052, Sydney, Australia

    Quan Z. Sheng

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© 2005 Springer-Verlag Berlin Heidelberg

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Jatowt, A., Kawai, Y., Tanaka, K. (2005). Temporal Ranking of Search Engine Results. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, JY., Sheng, Q.Z. (eds) Web Information Systems Engineering – WISE 2005. WISE 2005. Lecture Notes in Computer Science, vol 3806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581062_4

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  • DOI: https://doi.org/10.1007/11581062_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30017-5

  • Online ISBN: 978-3-540-32286-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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