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Mobile Social Travel Recommender System Read chapter Read first chapter

2013 | OriginalPaper | Chapter

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

Authors : Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Thomas Schievenin

Published in: Information and Communication Technologies in Tourism 2014

Publisher: Springer International Publishing

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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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previous chapter CT-Planner4: Toward a More User-Friendly Interactive Day-Tour Planner
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Footnotes
2
Municipality of Bolzano: http://​www.​comune.​bolzano.​it
 
4
Mondometeo web service: http://​www.​mondometeo.​org
 
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Metadata
Title
Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management
Authors
Matthias Braunhofer
Mehdi Elahi
Francesco Ricci
Thomas Schievenin
Copyright Year
2013
Book
Information and Communication Technologies in Tourism 2014

Print ISBN: 978-3-319-03972-5

Electronic ISBN: 978-3-319-03973-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-319-03973-2_7

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