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Case-Based Recommender Systems: A Unifying View

  • Conference paper
Intelligent Techniques for Web Personalization (ITWP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3169))

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Abstract

This paper presents a unifying framework to model case-based reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem solving methodology in a number of ways. The goal of the proposed framework is to illustrate both the common features of the various CBR-RSs as well as the points were these systems take different solutions. The proposed framework was derived by the analysis of some systems and techniques comprising nine different recommendation functionalities. The ultimate goal of the this framework is to ease the evaluation and the comparison of case-based reasoning recommender systems and to provide a tool to identify open areas for further research.

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Author information

Authors and Affiliations

  1. Universidade Luterana do Brasil, Rua Miguel Tostes, 101, RS, Brasil

    Fabiana Lorenzi

  2. eCommerce and Tourism Research Laboratory, ITC-irst, via Solteri 38, 38100, Trento, Italy

    Fabiana Lorenzi & Francesco Ricci

Authors
  1. Fabiana Lorenzi
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  2. Francesco Ricci
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Editor information

Editors and Affiliations

  1. Center for Web Intelligence School of Computing, DePaul University, Chicago, Illinois, USA

    Bamshad Mobasher

  2. Department of Computer Science, University of Warwick, Coventry, United Kingdom

    Sarabjot Singh Anand

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© 2005 Springer-Verlag Berlin Heidelberg

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Lorenzi, F., Ricci, F. (2005). Case-Based Recommender Systems: A Unifying View. In: Mobasher, B., Anand, S.S. (eds) Intelligent Techniques for Web Personalization. ITWP 2003. Lecture Notes in Computer Science(), vol 3169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11577935_5

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  • DOI: https://doi.org/10.1007/11577935_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29846-5

  • Online ISBN: 978-3-540-31655-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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