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A Web Browsing Behavior Recording System

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6884))

Abstract

In this paper, we introduce a Web browsing behavior recording system for research. Web browsing behavior data can help us to provide sophisticated services for human activities, because the data must indicate characteristics of Web users. We discuss the necessity of the data with potential benefits, and develop a system for collecting the data as an add-on for Firefox. We also report some results of preliminary experiments to test its usefulness in analyses on human activities in this paper.

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Author information

Authors and Affiliations

  1. Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, 860-8555, Japan

    Hayato Ohmura, Teruaki Kitasuka & Masayoshi Aritsugi

Authors
  1. Hayato Ohmura
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  2. Teruaki Kitasuka
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  3. Masayoshi Aritsugi
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Ohmura, H., Kitasuka, T., Aritsugi, M. (2011). A Web Browsing Behavior Recording System. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-23866-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23865-9

  • Online ISBN: 978-3-642-23866-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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