A MAS-Based Approach for POI Group Recommendation in LBSN

  • Silvia SchiaffinoEmail author
  • Daniela Godoy
  • J. Andrés Díaz Pace
  • Yves Demazeau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12092)


Location-based recommender systems (LBRS) suggest friends, events, and places considering information about geographical locations. These recommendations can be made to individuals but also to groups of users, which implies satisfying the group as a whole. In this work, we analyze different alternatives for POI group recommendations based on a multi-agent system consisting of negotiating agents that represent a group of users. The results obtained thus far indicate that our multi-agent approach outperforms traditional aggregation approaches, and that the usage of LBSN information helps to improve both the quality of the recommendations and the efficiency of the recommendation process.


Group recommender systems Location-based social networks Multi-agent systems Negotiation 



We thank CONICET PIP Project 112-201501-00030, ANPCyT project PICT 2016-2973, C. Ríos and C. Villavicencio for their support and their work.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Silvia Schiaffino
    • 1
    Email author
  • Daniela Godoy
    • 1
  • J. Andrés Díaz Pace
    • 1
  • Yves Demazeau
    • 2
  1. 1.ISISTAN (UNCPBA-CONICET)TandilArgentina
  2. 2.Laboratoire d’Informatique de Grenoble (CNRS)GrenobleFrance

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