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Profiling Multiple Domains of User Interests and Using Them for Personalized Web Support

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Advances in Intelligent Computing (ICIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3645))

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Abstract

As people’s web usage is growing bigger, personalized support for web browsing is in great demand. Furthermore, the diversity of a user’s interests demands an appropriate methodology for profiling multiple domains of user interests. To comply with such demands, we propose one feasible design approach to support personalized web usage, in which a web user agent takes over the task of learning and profiling the multiplicity and the changeability of user interests. To evaluate the advantages of this approach, we have constructed a personalized web supporting system, in which an autonomous agent, namely the web guide agent, utilizes the information gathered by the web user agent for adaptation, e.g., selective retrieval and re-ranking of web links, and automatic delivery of specific web pages. Compared to other design alternatives, the proposed scheme is operationally simple, while producing acceptably reliable outcome.

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Authors and Affiliations

  1. Department of Computer Engineering, Sejong University, Seoul, Korea

    Hyung Joon Kook

Authors
  1. Hyung Joon Kook
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Editors and Affiliations

  1. Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. School of Computer & Information Technology, Beijing Jiaotong University, 100044, Beijing, P.R. China

    Xiao-Ping Zhang

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

    Guang-Bin Huang

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© 2005 Springer-Verlag Berlin Heidelberg

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Kook, H.J. (2005). Profiling Multiple Domains of User Interests and Using Them for Personalized Web Support. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_53

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  • DOI: https://doi.org/10.1007/11538356_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28227-3

  • Online ISBN: 978-3-540-31907-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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