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Web Site Personalization Using User Profile Information

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2347))

Abstract

In this paper we discuss a technique for web site personalization. Connectivity analysis has been shown to be useful in identifying high quality web pages within a topic or domain specific graph of hyper linked documents. We have implemented a system that creates a view of a subset of a web site most relevant to a given user. This sort of personalization is useful for filtering a useful subset of a site so that the user gets a low volume of quality information. The essence of our approach is to augment a previous connectivity analysis with content analysis. We present an agent which assists the user when he browses and distills a personalized sub graph of the website based on his user profile.

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Author information

Authors and Affiliations

  1. INSMA, Headquarters Western Naval Command, Indian Navy, Mumbai, India, 400001

    Mohit Goel

  2. Dept. Of Computer Science Engineering, IIT, Kharagpur West Bengal, India, 721302

    Sudeshna Sarkar

Authors
  1. Mohit Goel
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  2. Sudeshna Sarkar
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Editor information

Editors and Affiliations

  1. School of Information Sciences Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Department of Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Einhoven, The Netherlands

    Paul De Bra

  3. Escuela Tecnica Superior de Ingenieros en Informatica Departamento de Lenguajes y Ciencias de la Computacion, Universidad de Málaga, Boulevard Luis Pasteur, 35, Málaga, Spain

    Ricardo Conejo

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© 2002 Springer-Verlag Berlin Heidelberg

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Goel, M., Sarkar, S. (2002). Web Site Personalization Using User Profile Information. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_72

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  • DOI: https://doi.org/10.1007/3-540-47952-X_72

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43737-6

  • Online ISBN: 978-3-540-47952-9

  • eBook Packages: Springer Book Archive

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