Interception of User’s Interests on the Web

  • Michal Barla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)


Current adaptive systems acquire information about users mainly by simple tracking of resources, a user has requested and by asking users to supply the needed information. In this paper, we discuss user modeling based on observing a user’s interaction with the system. We propose to collect usage data on the server side as well as on the client side. Collected data are then processed into knowledge about user’s intentions and preferences. This processing relies on a set of heuristics, which help to interpret the usage patterns found in the collected data.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Michal Barla
    • 1
  1. 1.Institute of Informatics and Software Engineering, Faculty of Informatics and Information TechnologiesSlovak University of Technology in BratislavaBratislavaSlovakia

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