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Suggesting Query Revisions in Conversational Recommender Systems

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7899))

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Motivations

Recommender Systems (RS) are information tools designed to suggest items that suit users needs and preferences. They can also support users to browse a product catalogue and better understand and elicit their preferences. These activities are managed by Conversational RSs, which over a series of user-system interactions acquire and revise user preferences by observing the user reaction to proposed options.

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References

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Author information

Authors and Affiliations

  1. Free University of Bozen-Bolzano, Bolzano, Italy

    Henry Blanco Lores

Authors
  1. Henry Blanco Lores
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Delaware, 19716, Delaware, DE, USA

    Sandra Carberry

  2. School of Computing, National College of Ireland, Mayor Street, IFSC, Dublin 1, Ireland

    Stephan Weibelzahl

  3. Dipartimento di Ingegneria, Roma Tre University, Via della Vasca Navale, 79, 00146, Rome, Italy

    Alessandro Micarelli

  4. Department of Computer Science, University of Bari Aldo Moro, 70126, Bari, Italy

    Giovanni Semeraro

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© 2013 Springer-Verlag Berlin Heidelberg

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Lores, H.B. (2013). Suggesting Query Revisions in Conversational Recommender Systems. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-38844-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38843-9

  • Online ISBN: 978-3-642-38844-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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