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PUMAS-GR: A Negotiation-Based Group Recommendation System for Movies

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Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection (PAAMS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9662))

Abstract

Providing recommendations to groups of users has become popular in many applications today. Although several group recommendation techniques exist, the generation of items that satisfy all group members in an even way still remains a challenge. To this end, we have developed a multi-agent approach called PUMAS-GR that relies on negotiation techniques to improve group recommendations. We applied PUMAS-GR to the movies domain, and used the monotonic concession protocol to reach a consensus on the movies proposed to a group.

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Notes

  1. 1.

    http://grouplens.org/datasets/movielens/.

  2. 2.

    http://www.duineframework.org/.

  3. 3.

    http://mahout.apache.org/.

References

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  3. Ricci, F., Rokach, L., Shapira, B., Kantor, P.: Recommender Systems Handbook. Springer, New York (2010)

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  4. Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. Wiley, Chichester (2009)

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Acknowledgements

This work has been partially supported by projects ANPCyT-PICT2011-0366 and CONICET-PIP112-201101-00078 (Argentina), and also by “PUMAS” CONICET-CNRS cooperation project.

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Authors and Affiliations

  1. ISISTAN (CONICET - UNCPBA), Campus Universitario, Tandil, Argentina

    Christian Villavicencio, Silvia Schiaffino, Jorge Andres Diaz-Pace & Ariel Monteserin

Authors
  1. Christian Villavicencio
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  2. Silvia Schiaffino
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  3. Jorge Andres Diaz-Pace
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  4. Ariel Monteserin
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Corresponding author

Correspondence to Silvia Schiaffino .

Editor information

Editors and Affiliations

  1. Lab. d'Informatique de Grenoble, Centre National de la Rech. Scientifique, Grenoble, France

    Yves Demazeau

  2. Dept. of Computer Sci. and Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  3. Dept. de Inteligencia Artificial, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain

    Javier Bajo

  4. ETS Ingenieria Informatica, Universidad de Sevilla, Sevilla, Spain

    Maria José Escalona

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© 2016 Springer International Publishing Switzerland

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Villavicencio, C., Schiaffino, S., Diaz-Pace, J.A., Monteserin, A. (2016). PUMAS-GR: A Negotiation-Based Group Recommendation System for Movies. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M. (eds) Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection. PAAMS 2016. Lecture Notes in Computer Science(), vol 9662. Springer, Cham. https://doi.org/10.1007/978-3-319-39324-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-39324-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39323-0

  • Online ISBN: 978-3-319-39324-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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