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Web User Browse Behavior Characteristic Analysis Based on a BC Tree

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Active Media Technology (AMT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6335))

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Abstract

Analysis of Web user browser behavior characteristics is a key technology in the domains, such as Initiative Web Information Retrieval and Information Recommendation. Taking into account the layout of Web pages, in this paper we constructed a user browse behavior characteristic (BC) tree based on the browsing history of Web users, and then established a new approach for analyzing Web user BC trees. This method delivers us the interesting topics of a user, the extent and depth of these topics, as well as the explanation of the frequency of accessing hierarchic block paths on web pages. We illustrated the efficiency with experiments, and demonstrated that the proposed approach is promising in Initiative Web Information Retrieval and Information Recommendation.

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Author information

Authors and Affiliations

  1. The International WIC Institute, Beijing University of Technology, Beijing, 100022, China

    Dingrong Yuan

  2. College of Computer Science, Guangxi Normal University, Guilin, 541004, China

    Dingrong Yuan & Shichao Zhang

Authors
  1. Dingrong Yuan
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  2. Shichao Zhang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, York University, M3J 1P3, Toronto, ON, Canada

    Aijun An

  2. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  3. Faculty of Fine Arts, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Sheila Petty

  4. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-cho, Koganei-shi, 184-8584, Tokyo, Japan

    Runhe Huang

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Yuan, D., Zhang, S. (2010). Web User Browse Behavior Characteristic Analysis Based on a BC Tree. In: An, A., Lingras, P., Petty, S., Huang, R. (eds) Active Media Technology. AMT 2010. Lecture Notes in Computer Science, vol 6335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15470-6_52

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  • DOI: https://doi.org/10.1007/978-3-642-15470-6_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15469-0

  • Online ISBN: 978-3-642-15470-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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