Exploiting Cloud Technologies and Context Information for Recommending Touristic Paths

  • Flora Amato
  • Antonino Mazzeo
  • Vincenzo Moscato
  • Antonio Picariello
Part of the Studies in Computational Intelligence book series (SCI, volume 511)


In the developing of applications for touristic paths planning, contextaware recommendation services are gaining more and more relevance. Recommender applications can accommodate location’s dependent information with user’s needs in a mobile environment, related to the touristic domain.

In this paper, we propose a touristic context-aware recommendation system based on both the experience of previous users and on personal preferences of tourists. The information are gathered by several heterogeneous sources (sensors, web portals, repositories related to touristic events and locations) and are stored and analyzed in a cloud architecture that is particularly suitable to process and manage the huge amount of data extracted.


Recommendation Systems Knowledge Management Cloud Computing 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Flora Amato
    • 1
  • Antonino Mazzeo
    • 1
  • Vincenzo Moscato
    • 1
  • Antonio Picariello
    • 1
  1. 1.Dipartimento di Ingegneria Elettrica e Tecnologie dell’InformazioneUniversity of Naples “Federico II”NaplesItaly

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