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Automated Personalisation of Internet Users Using Self-Organising Maps

  • Yrjö Hiltunen
  • Mika Lappalainen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

Automated personalisation offers a major improvement in the use of large Web sites. These systems learn from a user and suggest where on the Web site a user might move. Self-organising maps (SOM) may also be considered as a potential tool for Web data analysis. In this paper, the use of SOM analysis for automated personalisation of Internet users is demonstrated. The map was obtained by training a self-organising network with user demographics; click stream data were used to calculate the probabilities of user behaviour on the Web site. Thus, the map can be used for personalisation of users and to calculate the probabilities of each neuron in predicting where the user will next move on the Web site. The results indicate that SOM analysis can successfully process Web information.

Keywords

Internet User Neural Network Analysis Page Request Page Access Dwelling Place 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Yrjö Hiltunen
    • 1
  • Mika Lappalainen
    • 1
  1. 1.Pehr Brahe Software LaboratoryUniversity of OuluRAAHEFinland

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