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Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management

  • Matthias Braunhofer
  • Mehdi Elahi
  • Francesco Ricci
  • Thomas Schievenin
Conference paper

Abstract

Weather plays an important role in tourists’ decision-making and, for instance, some places or activities must not be even suggested under dangerous weather conditions. In this paper we present a context-aware recommender system, named STS, that computes recommendations suited for the weather conditions at the recommended places of interest (POI) by exploiting a novel model-based context-aware recommendation technique. In a live user study we have compared the performance of the system with a variant that does not exploit weather data when generating recommendations. The results of our experiment have shown that the proposed approach obtains a higher perceived recommendation quality and choice satisfaction.

Keywords

Context aware Weather Recommender systems 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Matthias Braunhofer
    • 1
  • Mehdi Elahi
    • 1
  • Francesco Ricci
    • 1
  • Thomas Schievenin
    • 1
  1. 1.Faculty of Computer ScienceFree University of BozenBolzanoItaly

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