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.
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Notes
- 1.
LTS: http://www.lts.it
- 2.
Municipality of Bolzano: http://www.comune.bolzano.it
- 3.
Mondometeo: http://www.mondometeo.org
- 4.
Mondometeo web service: http://www.mondometeo.org
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Braunhofer, M., Elahi, M., Ricci, F., Schievenin, T. (2013). Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management. In: Xiang, Z., Tussyadiah, I. (eds) Information and Communication Technologies in Tourism 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-03973-2_7
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DOI: https://doi.org/10.1007/978-3-319-03973-2_7
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