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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2018: Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection pp 392–403Cite as

Recommender System of Walking or Public Transportation Routes for Disabled Users

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 887))

Abstract

Nowadays, the advance of the technology has allowed to develop applications and systems to facilitate the daily life of the people. One of the most used field by thousands of people every day is to generate routes to go from one place to another, obtaining not only the route according to the means of transport that the user selects, but also can get recommendations of places of interest that can be found along the way. Unfortunately, these applications do not consider the profile of the end users, and generate the same routes for a person who has a disability as for those who do not. In this article, we propose a model to create a recommendation system based on the user profile to generate automatic and personalized routes on foot or on public transportation for people with disabilities.

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Acknowledgement

This research was carried out as a part of the SURF project under the grant TIN2015-65515-C4-1-R by the Spanish government.

Author information

Authors and Affiliations

  1. Departamento de Tecnología en Análisis de Sistemas, Instituto Tecnológico del Azuay, Octavio Chacón Moscoso 1-98 y Primera Transversal, 010108, Cuenca, Ecuador

    Andrea Peralta Bravo

  2. Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    Adriana Giret

Authors
  1. Andrea Peralta Bravo
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  2. Adriana Giret
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Corresponding author

Correspondence to Adriana Giret .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan M. Corchado

  3. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena María Navarro Martínez

  4. TECNALIA, Derio, Spain

    Eneko Osaba Icedo

  5. Lille University of Science and Technology, Villeneuve d’Ascq, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Patrycja Hoffa-Dąbrowska

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena del Val

  8. Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada

    Sylvain Giroux

  9. University of Porto, Porto, Portugal

    Antonio J.M. Castro

  10. Rio de Janeiro State University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Informatica e Estatistica, Universidade Federal de Santa Catar, Florianopolis, Santa Catarina, Brazil

    Ricardo Azambuja Silveira

  13. Universidad Rey Juan Carlos, Móstoles, Madrid, Spain

    Alberto Fernández

  14. ICB, Universität Duisburg-Essen, Essen, Germany

    Rainer Unland

  15. Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Rubén Fuentes-Fernández

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Bravo, A.P., Giret, A. (2018). Recommender System of Walking or Public Transportation Routes for Disabled Users. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_34

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  • DOI: https://doi.org/10.1007/978-3-319-94779-2_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94778-5

  • Online ISBN: 978-3-319-94779-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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