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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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
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