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

Matthias Braunhofer (), Mehdi Elahi (), Francesco Ricci () and Thomas Schievenin ()
Additional contact information
Matthias Braunhofer: Free University of Bozen
Mehdi Elahi: Free University of Bozen
Francesco Ricci: Free University of Bozen
Thomas Schievenin: Free University of Bozen

A chapter in Information and Communication Technologies in Tourism 2014, 2013, pp 87-100 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-03973-2_7

Ordering information: This item can be ordered from
http://www.springer.com/9783319039732

DOI: 10.1007/978-3-319-03973-2_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().