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International Conference on User Modeling

UM 2005: User Modeling 2005 pp 518–520Cite as

Improving Explicit Profile Acquisition by Means of Adaptive Natural Language Dialog

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3538))

Abstract

As opposed to implicit user profiling, there are only few explicit approaches, which furthermore suffer from problems that prevent them from being truly viable in practice. In this paper we present an approach to explicit user profiling by means of an adaptive natural language dialog. The dialog adapts to interests the user has mentioned and captures new, not predefined user information, which is stored in a semantically structured explicit user profile.

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References

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Author information

Authors and Affiliations

  1. Insitut für Informatik, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Germany

    Rosmary Stegmann

Authors
  1. Rosmary Stegmann
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università di Torino, Corso Svizzera 185, 10149, Torino, Italy

    Liliana Ardissono

  2. The SCRE Centre, University of Glasgow, 11 Eldon Street, P.O. Box, G3 6NH, Glasgow, United Kingdom

    Paul Brna

  3. Intelligent Computer Tutoring Group, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, P.O. Box, Christchurch, New Zealand

    Antonija Mitrovic

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© 2005 Springer-Verlag Berlin Heidelberg

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Stegmann, R. (2005). Improving Explicit Profile Acquisition by Means of Adaptive Natural Language Dialog. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_75

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  • DOI: https://doi.org/10.1007/11527886_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27885-6

  • Online ISBN: 978-3-540-31878-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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