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An Agent-Based Architecture for Personalized Recommendations

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Book cover Agents and Artificial Intelligence (ICAART 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10162))

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Abstract

This paper proposes a design framework for a personalized multi-agent recommender system. More precisely, the proposed framework is a multi-context based recommender system that takes into account user preferences to generate a plan satisfying those preferences. Agents in this framework have a Belief-Desire-Intention (BDI) component based on the well-known BDI architecture. These BDI agents are empowered with cognitive capabilities in order to interact with others agents. They are also able to adapt to the environment changes and to the information coming from other agents. The architecture includes also a planning module based on ontologies in order to represent and reason about plans and intentions. The applicability of the proposed model is shown through a simulation in the NetLogo environment.

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Notes

  1. 1.

    http://www.w3.org/standards/semanticweb/ontology.

  2. 2.

    http://ns.inria.fr/huto/5w/.

  3. 3.

    https://ccl.northwestern.edu/netlogo/.

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Author information

Authors and Affiliations

  1. WIMMICS Research Team, Inria, I3S, UMR 7271, Sophia Antipolis, France

    Amel Ben Othmane

  2. CNRS, I3S, UMR 7271, Sophia Antipolis, France

    Serena Villata

  3. Univ. Nice Sophia Antipolis, I3S, UMR 7271, Sophia Antipolis, France

    Andrea Tettamanzi, Nhan LE Thanh & Michel Buffa

Authors
  1. Amel Ben Othmane
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  2. Andrea Tettamanzi
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  3. Serena Villata
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  4. Nhan LE Thanh
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  5. Michel Buffa
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Corresponding author

Correspondence to Amel Ben Othmane .

Editor information

Editors and Affiliations

  1. Leiden University, Leiden, The Netherlands

    Jaap van den Herik

  2. Polytechnic Institute of Setúbal/INSTICC, Setúbal, Portugal

    Joaquim Filipe

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Othmane, A.B., Tettamanzi, A., Villata, S., Thanh, N.L., Buffa, M. (2017). An Agent-Based Architecture for Personalized Recommendations. In: van den Herik, J., Filipe, J. (eds) Agents and Artificial Intelligence. ICAART 2016. Lecture Notes in Computer Science(), vol 10162. Springer, Cham. https://doi.org/10.1007/978-3-319-53354-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-53354-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53353-7

  • Online ISBN: 978-3-319-53354-4

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