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A Context-Aware Mobile Recommender System Based on Location and Trajectory

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Management Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 171))

Abstract

Recommender systems have typically been used in tourism applications to filter out irrelevant information and to provide personalized recommendations to the users. With the advent of mobile devices and ubiquitous computing, RSs have begun to incorporate Location Based Services (LBS) into mobile tourism guides to provide users with interesting points of interest (POIs) according to their contextual information, mainly physical location. In this paper, we propose a context-aware system for mobile devices that incorporates some implicit contextual information that is scarcely used in the literature: the user’s speed and his trajectory. This system has been specifically crafted to assist travelling users by providing them with smart and personalized POIs along their route taking into account their current location and driving speed.

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Author information

Authors and Affiliations

  1. Department of Computer Sciences, University of Jaén, Campus Las Lagunillas s/n, Jaén, 23071, Spain

    Manuel J. Barranco, José M. Noguera, Jorge Castro & Luis Martínez

Authors
  1. Manuel J. Barranco
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  2. José M. Noguera
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  3. Jorge Castro
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  4. Luis Martínez
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Corresponding author

Correspondence to Manuel J. Barranco .

Editor information

Editors and Affiliations

  1. Dept. Computer Science & A.I., University of Granada, Granada, 18071, Spain

    Jorge Casillas

  2. Dept. of Management, University of Granada, Granada, 18071, Spain

    Francisco J. Martínez-López

  3. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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Barranco, M.J., Noguera, J.M., Castro, J., Martínez, L. (2012). A Context-Aware Mobile Recommender System Based on Location and Trajectory. In: Casillas, J., Martínez-López, F., Corchado Rodríguez, J. (eds) Management Intelligent Systems. Advances in Intelligent Systems and Computing, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30864-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-30864-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30863-5

  • Online ISBN: 978-3-642-30864-2

  • eBook Packages: EngineeringEngineering (R0)

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