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International Conference on Case-Based Reasoning

ICCBR 2011: Case-Based Reasoning Research and Development pp 226–240Cite as

Using Personality to Create Alliances in Group Recommender Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6880))

Abstract

Our recent work analyses the accuracy of group recommenders when using information about the personality and the social connections between the members of the group. The goal in this paper is the use of personality and trust as the mean to define alliances to reach agreements inside a group of people. The approach reproduces the behaviour of real users when negotiating a common item to consume using three variables: personality, trust and personal preferences. We run an experiment in the movie recommendation domain where we use a personality test to identify the group leaders and test the number of people they are able to convince about a certain item to consume.

Supported by the Spanish Ministry of Sci. and Ed. (TIN2009-13692-C03-03).

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Authors and Affiliations

  1. Dep. Ingeniería del Software e Inteligencia Artificial, Universidad Complutense de Madrid, Spain

    Lara Quijano-Sánchez, Juan A. Recio Garcia & Belén Díaz-Agudo

Authors
  1. Lara Quijano-Sánchez
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  2. Juan A. Recio Garcia
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  3. Belén Díaz-Agudo
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Ashwin Ram Nirmalie Wiratunga

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Quijano-Sánchez, L., Recio Garcia, J.A., Díaz-Agudo, B. (2011). Using Personality to Create Alliances in Group Recommender Systems. In: Ram, A., Wiratunga, N. (eds) Case-Based Reasoning Research and Development. ICCBR 2011. Lecture Notes in Computer Science(), vol 6880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23291-6_18

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  • DOI: https://doi.org/10.1007/978-3-642-23291-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23290-9

  • Online ISBN: 978-3-642-23291-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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