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Grouplanner: A Group Recommender System for Tourism with Multi-agent MicroServices

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Book cover Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection (PAAMS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13616))

Abstract

To provide recommendations to groups of tourists is a very complex task, especially due to conflicting preferences and the group’s heterogeneity. The introduction of Multi-Agent Systems (MAS) can be the leverage we are looking for. Their autonomy, isolated state, distribution, and loose coupling make them suitable for the development of distributed systems, being the concept similar to a Microservices architecture. This connection brought a new approach, the Multi-Agent Microservices (MAMS) architecture, which exposes agents as resources through REST endpoints, changing the way MAS are seen and implemented, facilitating the user ↔ agent interaction, with a more efficient interoperability, bringing faster and more intelligent systems. In this demonstration, we propose the use of a MAMS architecture to represent the tourists in a mobile Group Recommender System for Tourism prototype, Grouplanner, exposing their agents and knowledge as resources that can be consumed by HTTP clients by directly communicating with the tourists’ agents using REST endpoints, in order to provide faster and better recommendations.

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Notes

  1. 1.

    To facilitate the demonstration, we are not considering the tourists’ demographic data, motivations, nor travel-related preferences and concerns.

  2. 2.

    This division is also based on the “Personality vs Tourist Attractions Preference” model proposed in our previous work [8].

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Author information

Authors and Affiliations

  1. GECAD – Institute of Engineering of Polytechnic of Porto, Porto, Portugal

    Patrícia Alves, Domingos Gomes, Catarina Rodrigues, João Carneiro & Goreti Marreiros

  2. ALGORITMI Centre – University of Minho, Guimarães, Portugal

    Paulo Novais

Authors
  1. Patrícia Alves
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  2. Domingos Gomes
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  3. Catarina Rodrigues
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  4. João Carneiro
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  5. Paulo Novais
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  6. Goreti Marreiros
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Corresponding author

Correspondence to Patrícia Alves .

Editor information

Editors and Affiliations

  1. Umeå University, Umeå, Sweden

    Frank Dignum

  2. University of Lille, Lille, France

    Philippe Mathieu

  3. University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado

  4. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

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Alves, P., Gomes, D., Rodrigues, C., Carneiro, J., Novais, P., Marreiros, G. (2022). Grouplanner: A Group Recommender System for Tourism with Multi-agent MicroServices. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_37

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  • DOI: https://doi.org/10.1007/978-3-031-18192-4_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18191-7

  • Online ISBN: 978-3-031-18192-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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