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Learning User Profiles in NAUTILUS

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1892))

Abstract

NAUTILUS is a Web recommender system that exploits a new approach to learn user profiles. The novelty consists of using a structured representation of HTML documents that allows us to split the page into logical contexts (lists, headers, paragraphs,...). The learning algorithm is based on a new neural computational model particularly suited to process structured objects.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Universitá di Siena, Via Roma 56, 53100, Siena, Italy

    Marco Gori, Marco Maggini, Enrico Martinelli & Franco Scarselli

Authors
  1. Marco Gori
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  2. Marco Maggini
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  3. Enrico Martinelli
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  4. Franco Scarselli
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Editor information

Editors and Affiliations

  1. School of Information Sciences, University of Pittsburgh, 135 N. Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. ITC-irst, I-38050, Povo Trento, Italy

    Oliviero Stock  & Carlo Strapparava  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Gori, M., Maggini, M., Martinelli, E., Scarselli, F. (2000). Learning User Profiles in NAUTILUS. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2000. Lecture Notes in Computer Science, vol 1892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44595-1_39

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  • DOI: https://doi.org/10.1007/3-540-44595-1_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67910-3

  • Online ISBN: 978-3-540-44595-1

  • eBook Packages: Springer Book Archive

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