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Smart Recommender for Blue Tourism Routing

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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Abstract

This work describes the research and preliminary results for the development of an intelligent planning and recommendation system for the marine tourism sector. The application of technology and its rapid advance offers users the opportunity to use geo-location at all times, giving rise to a new range of personalized products and services, thereby generating a set of favorable impacts in the economic and social field. We describe the generation of knowledge developed on the services of marine tourism and their characteristics and the selection of technological tools for the construction of the recommender system. The system will generate recommended routes based on the traveler preferences profile. It also provides information on resources and tourist services, including mobility, and a system to help in the dynamic and optimal planning of tourist itineraries.

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Acknowledgment

This work has been partially funded by Gobierno de Canarias with FEDER 2014–2020 funds in its program of priority areas RIS-3 through the project “Inteligencia turística para un turismo marino responsable” (Ref. ProdID 2017010128), and by Fundación Cajacanarias through the project “Planificación Inteligente de Actividades en Turismo Marino apoyadas en la Geolocalización y las TICs” (2016TUR19).

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Authors and Affiliations

  1. Universidad de La Laguna, Tenerife, Spain

    José A. Moreno-Pérez, Julio Brito Santana, Agustín Santana Talavera, Dagoberto Castellanos Nieves, Iradiel García Pérez & Airam Expósito Márquez

Authors
  1. José A. Moreno-Pérez
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  2. Julio Brito Santana
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  3. Agustín Santana Talavera
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  4. Dagoberto Castellanos Nieves
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  5. Iradiel García Pérez
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  6. Airam Expósito Márquez
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Corresponding author

Correspondence to Airam Expósito Márquez .

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Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Moreno-Pérez, J.A., Brito Santana, J., Santana Talavera, A., Castellanos Nieves, D., García Pérez, I., Expósito Márquez, A. (2020). Smart Recommender for Blue Tourism Routing. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_25

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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