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Combining Various Methods of Automated User Decision and Preferences Modelling

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Modeling Decisions for Artificial Intelligence (MDAI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5861))

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Abstract

In this paper we present a proposal of a system that combines various methods of user modelling. This system may find its application in e-commerce, recommender systems, etc. The main focus of this paper is on automatic methods that require only a small amount of data from user. The different ways of integration of user models are studied. A proof-of-concept implementation is compared to standard methods in an initial experiment with artificial user data...

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Authors and Affiliations

  1. Department of Software Engineering, Charles University, Institute of Computer Science, Czech Academy of Science, Prague, Czech Republic

    Alan Eckhardt & Peter Vojtáš

Authors
  1. Alan Eckhardt
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  2. Peter Vojtáš
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Editor information

Editors and Affiliations

  1. IIIA-CSIC, Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

  2. Toho Gakuen, 3-1-10 Naka, Kunitachi, 186-0004, Tokyo, Japan

    Yasuo Narukawa

  3. Graduate School of Engineering Science, Osaka University, 1-3, Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Masahiro Inuiguchi

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© 2009 Springer-Verlag Berlin Heidelberg

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Eckhardt, A., Vojtáš, P. (2009). Combining Various Methods of Automated User Decision and Preferences Modelling. In: Torra, V., Narukawa, Y., Inuiguchi, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2009. Lecture Notes in Computer Science(), vol 5861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04820-3_16

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  • DOI: https://doi.org/10.1007/978-3-642-04820-3_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04819-7

  • Online ISBN: 978-3-642-04820-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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