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      A Framework for Emotion-aware Recommender Systems supporting Decision Making

      proceedings-article

      Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015) (FDIA 2015)

      Future Directions in Information Access

      31 August - 4 September 2015

      Emotions, Personality traits, Recommender Systems, Human Decision Making

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            Abstract

            Emotions influence everyday decisions. When people make decisions about movies to watch, songs to listen or even about more serious issues such as health, they perform a cognitive process that estimates which of various alternative choices would yield the most positive consequences. Indeed, this process in not totally rational because it is influenced, directly or in a subtle way by personality traits and emotions. In this paper we propose the idea of defining an affective user profile, which can act as a computational model of personality and emotions, included in a general, affective-aware, recommendation framework.

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            Author and article information

            Contributors
            Conference
            September 2015
            September 2015
            : 7-10
            Affiliations
            Ph.D. Student at University of Bari Aldo Moro Via Orabona 4, Bari, Italy www.di.uniba.it/swap
            Article
            10.14236/ewic/FDIA2015.3
            7a522844-6296-493b-ba71-d89d59ac538b
            © Polignano. Published by BCS Learning and Development Ltd. Proceedings of the 6 th Symposium on Future Directions in Information Access 2015

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015)
            FDIA 2015
            6
            Thessaloniki, Greece
            31 August - 4 September 2015
            Electronic Workshops in Computing (eWiC)
            Future Directions in Information Access
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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