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Who Do You Want to Be Today? Web Personae for Personalised Information Access

  • J. P. McGowan
  • Nicholas Kushmerick
  • Barry Smyth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2347)

Abstract

Personalised context sensitivity is the Holy Grail of web information retrieval. As a first step towards this goal, we present the Web Personae personalised search and browsing system. We use well-known information retrieval techniques to develop and track user models. Web Personae differ from previous approaches in that we model users with multiple profiles, each corresponding to a distinct topic or domain. Such functionality is essential in heterogeneous environments such as the Web. We introduce Web Personae, describe an algorithm for learning such models from browsing data, and discuss applications and evaluation methods.

Keywords

Query Expansion User Interest Document Cluster Browsing Behaviour Current Persona 
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

  • J. P. McGowan
    • 1
  • Nicholas Kushmerick
    • 1
  • Barry Smyth
    • 1
  1. 1.Smart Media Institute, Department of Computer ScienceUniversity College DublinIreland

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