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Istituto di Scienza e Tecnologie dell'Informazione     
Brilhante I., Macedo J. A., Nardini F. M., Perego R., Renso C. Planning sightseeing tours using crowdsensed trajectories. In: SIGSPATIAL Special, vol. 7 (1) pp. 59 - 66. ACM, 2015.
 
 
Abstract
(English)
We present an application where semantically enriched trajectories obtained from crowdsensed data are used to build an advanced system for planning personalized sightseeing tours, called textsc{TripBuilder}. The interesting feature of textsc{TripBuilder} is that it uses Wikipedia content and trajectories of previous tourists collected by georeferenced Flickr photos in a complex spatio-temporal framework. The objective is to address, in an unsupervised way, the problem of suggesting a budgeted sightseeing tour based on the preferences of the tourist and the time available for the visit. We present few highlights of how TripBuilder works along with a research agenda where we discuss the role of semantically enriched trajectories and crowdsourced location data in planning itineraries.
URL: http://dl.acm.org/citation.cfm?doid=2782759.2782769
DOI: 10.1145/2782759.2782769
Subject Tourist Trip Recommendation
Trajectory Mining
Database applications
H.3.3 Information Search and Retrieval
H.2.8 Database Applications


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