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Capturing Window Attributes for Extending Web Browsing History Records

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

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Abstract

We propose a method to enhance web browsing history records by considering browsing window attributes. The browsing window attributes means properties of web browser window such as size, location, z-order, activated status, etc. We often open multiple web documents for each window and browse the contents through handling these windows at the same time. Since a series of the window attributes describe the user’s browsing activities, we exploit the attributes to enrich the browsing records to help the user find previously visited web pages.

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References

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Author information

Authors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology,  

    Motoki Miura & Susumu Kunifuji

  2. Master’s Program in Science and Engineering, University of Tsukuba,  

    Shogo Sato

  3. Graduate School of Systems and Information Engineering,  

    Jiro Tanaka

Authors
  1. Motoki Miura
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  2. Susumu Kunifuji
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  3. Shogo Sato
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  4. Jiro Tanaka
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Miura, M., Kunifuji, S., Sato, S., Tanaka, J. (2005). Capturing Window Attributes for Extending Web Browsing History Records. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_60

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  • DOI: https://doi.org/10.1007/11552413_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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