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Modeling User’s Opinion Relevance to Recommending Research Papers

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User Modeling 2005 (UM 2005)

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

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Abstract

Finding the right material on the Web could be a worthwhile result. Users waste too much time to discover the useful information. Recommender system can provide some shortcuts to the user, but if the recommendation is based on people’s opinion, one question remains — how relevant is a user’s opinion? This paper presents a model to define the user’s relevance opinion in a recommender system. This metric aims to help the target user to decide in what recommendation he should focus his attention. Beyond the model, we present a real experiment using an e-government database.

This research has been funded in part by the Brazilian agency CAPES under grant BEX1357/03-4.

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References

  1. Cazella, S.C.: W-RECMAS: a hybrid recommender system based on multi-agent system to academic paper recommendation. Technical Report, PPGC-UFRGS–2003-339, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (2003)

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Author information

Authors and Affiliations

  1. Centro de Ciências Exatas e Tecnológicas, Universidade do Vale do Rio dos Sinos, Av. Unisinos 950, CEP 93.022-000, São Leopoldo, RS, Brazil

    Sílvio César Cazella

  2. Instituto de Informática, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, CEP 91.591-970, Porto Alegre, RS, Brazil

    Sílvio César Cazella & Luis Otávio Campos Alvares

Authors
  1. Sílvio César Cazella
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  2. Luis Otávio Campos Alvares
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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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Cazella, S.C., Alvares, L.O.C. (2005). Modeling User’s Opinion Relevance to Recommending Research Papers. 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_42

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  • DOI: https://doi.org/10.1007/11527886_42

  • 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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