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International Conference on User Modeling

UM 2001: User Modeling 2001 pp 257–259Cite as

Getting the Right Information to the Right Person

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2109))

Abstract

Classical personalization methods require prior knowledge of user in order to adapt to user’s needs. This paper presents an algorithm that generates an initial personal profile for new user with no prior knowledge of user’s interest.

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References

  1. Ardissono, L., Goy, A., Petrone, G., Segnan, M.: Adaptive user interfaces for online shopping. AAAI Spring Symposium on Adaptive User Interface. Stanford University, CA (2000) 13–18

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  5. Teo, G., Koenemann, J.: Personalising ELFI: user data as a source for adaptation. In Proc. of the 7th GI-ABIS99, LWA99, Sammelband, Magdeburg (1999) 273–282

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Author information

Authors and Affiliations

  1. German National Research Center for Information Technology, Schloss Birlinghoven, D, 53754, St. Augustin, Germany

    Gloria Teo

Authors
  1. Gloria Teo
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Editor information

Editors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI GmbH), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Mathias Bauer

  2. University of Texas, 19015, Arlington, TX, 76019-0015, USA

    Piotr J. Gmytrasiewicz

  3. Department of Computer Science ARIES, University of Saskatchewan, 1C101 Engineering Bldg., 57 Campus Dr., Saskatoon, SK, Canada, S7N 5A9

    Julita Vassileva

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© 2001 Springer-Verlag Berlin Heidelberg

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Teo, G. (2001). Getting the Right Information to the Right Person. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds) User Modeling 2001. UM 2001. Lecture Notes in Computer Science(), vol 2109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44566-8_38

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  • DOI: https://doi.org/10.1007/3-540-44566-8_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42325-6

  • Online ISBN: 978-3-540-44566-1

  • eBook Packages: Springer Book Archive

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