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Emotion-Based Recommender System for Overcoming the Problem of Information Overload

  • Conference paper
Book cover Highlights on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 365))

Abstract

Nowadays, we are experiencing a huge growth in the available information, caused by the advent of communication technology, which humans cannot handle by themselves. Personal Assistant Agents can help humans to cope with the task of selecting the relevant information. In order to perform well, these agents should consider not only their preferences, but also their mental states (such as beliefs, intentions and emotions) when recommending information. In this paper, we describe an ongoing Recommender System application, that implements a Multiagent System, with the purpose of gathering heterogeneous information from different sources and selectively deliver it based on: user’s preferences; the community’s trends; and on the emotions that it elicits in the user.

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Author information

Authors and Affiliations

  1. CISUC, University of Coimbra, Portugal

    Hernani Costa & Luis Macedo

Authors
  1. Hernani Costa
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  2. Luis Macedo
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced, s/n, 37008, Salamanca, Spain

    Juan M. Corchado

  2. Universidad Politécnica de Madrid, Campus Montegancedo, Boadilla del Monte, 28660, Madrid, Spain

    Javier Bajo

  3. AGH University of Science and Technology (AGH), 30-059, Krakow, Poland

    Jaroslaw Kozlak

  4. Poznan University of Technology, Strzelecka 11, 60-965, Poznan, Poland

    Pawel Pawlewski

  5. Universidad Carlos III de Madrid, Avenida de la Universidad Carlos III, 22, 28270, Madrid, Spain

    Jose M. Molina

  6. Departamento de sistemas informáticos y computación, Universidad Politécnica de Valencia, Camino de Vera S/N, 46022, Valencia, Spain

    Vicente Julian

  7. Universidade Federal de Santa Catarina, CEP 88040-900, Florianópolis, S.C., Brazil

    Ricardo Azambuja Silveira

  8. Universität Duisburg-Essen, Schützenbahn 70 (Hochhaus), 45117, Essen, Germany

    Rainer Unland

  9. Université de Sherbrooke, 2500 boul. Université, Sherbrooke, Qc, Canada

    Sylvain Giroux

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Costa, H., Macedo, L. (2013). Emotion-Based Recommender System for Overcoming the Problem of Information Overload. In: Corchado, J.M., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Communications in Computer and Information Science, vol 365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38061-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-38061-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38060-0

  • Online ISBN: 978-3-642-38061-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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