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International Conference on Discovery Science

DS 2005: Discovery Science pp 383–385Cite as

Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3735))

Abstract

The search engine log files have been used to gather direct user feedback on the relevancy of the documents presented in the results page. Typically the relative position of the clicks gathered from the log files is used a proxy for the direct user feedback. In this paper we identify reasons for the incompleteness of the relative position of clicks for deciphering the user preferences. Hence, we propose the use of time spent by the user in reading through the document as indicative of user preference for a document with respect to a query. Also, we identify the issues involved in using the time measure and propose means to address them.

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References

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Author information

Authors and Affiliations

  1. Indian Institute of Science, Bangalore, KA, 560 012, India

    Parthasarathy Ramachandran

Authors
  1. Parthasarathy Ramachandran
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Editor information

Editors and Affiliations

  1. School of Computer Science & Engineering, The University of New South Wales, Sydney, Australia

    Achim Hoffmann

  2. Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan

    Hiroshi Motoda

  3. Max Planck Institute for Computer Science, Saarbrücken, Germany

    Tobias Scheffer

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© 2005 Springer-Verlag Berlin Heidelberg

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Ramachandran, P. (2005). Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results. In: Hoffmann, A., Motoda, H., Scheffer, T. (eds) Discovery Science. DS 2005. Lecture Notes in Computer Science(), vol 3735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563983_37

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  • DOI: https://doi.org/10.1007/11563983_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29230-2

  • Online ISBN: 978-3-540-31698-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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