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Machine Learning in User Modeling

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Machine Learning and Its Applications (ACAI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2049))

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Abstract

It is generally recognized that information systems are becoming more complex and, therefore, intelligent user interfaces are needed to improve user interaction with these systems. Furthermore, the exponential growth of the Internet makes it difficult for the users to cope with the huge amount of available on-line information. The challenge that information providers and system engineers face is the creation of adaptive (Webbased) applications, as well as the development of “personalized” retrieval and filtering mechanisms. Responses to this challenge come from various disciplines including machine learning and data mining, intelligent agents and multi-agent systems, intelligent tutoring, information retrieval, etc.

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Authors and Affiliations

  1. Division of Applied Technologies, NCSR “Demokritos”, 15310, Athens, Greece

    Christos Papatheodorou

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  1. Christos Papatheodorou
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  1. National Centre for Scientific Research “Demokritos”, Institute of Informatics and Telecommunications, P.O. Box 60228, Ag. Paraskevi, 15310, Athens, Greece

    Georgios Paliouras , Vangelis Karkaletsis  & Constantine D. Spyropoulos ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Papatheodorou, C. (2001). Machine Learning in User Modeling. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_17

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  • DOI: https://doi.org/10.1007/3-540-44673-7_17

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  • Print ISBN: 978-3-540-42490-1

  • Online ISBN: 978-3-540-44673-6

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