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Discovering Rich Navigation Patterns on a Web Site

  • Karine Chevalier
  • Cécile Bothorel
  • Vincent Corruble
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2843)

Abstract

In this paper, we describe a method for discovering knowledge about users on a web site from data composed of demographic descriptions and site navigations. The goal is to obtain knowledge that is useful to answer two types of questions: (1) how do site users visit a web site? (2) Who are these users? Our approach is based on the following idea: the set of all site users can be divided into several coherent subgroups; each subgroup shows both distinct personal characteristics, and a distinct browsing behaviour. We aim at obtaining associations between site usage patterns and personal user descriptions. We call this combined knowledge ’rich navigation patterns’. This knowledge characterizes a precise web site usage and can be used in several applications: prediction of site navigation, recommendations or improvement in site design.

Keywords

User Profile User Characteristic Site Usage Frequent Sequence Cluster Phase 
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 2003

Authors and Affiliations

  • Karine Chevalier
    • 1
    • 2
  • Cécile Bothorel
    • 1
  • Vincent Corruble
    • 2
  1. 1.France Telecom R&D (Lannion)France
  2. 2.LIP6, Pole IAUniversité Pierre et Marie Curie (Paris VI)France

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