Data di Pubblicazione:
2014
Abstract:
We propose TripBuilder, an user-friendly and interactive system for planning a time-budgeted sightseeing tour of a city on the basis of the points of interest and the patterns of movements of tourists mined from user-contributed data. The knowledge needed to build the recommendation model is entirely extracted in an unsupervised way from two popular collaborative platforms: Wikipedia and Flickr. TripBuilder interacts with the user by means of a friendly Web interface that allows her to easily specify personal interests and time budget. The sightseeing tour proposed can be then explored and modified. We present the main components composing the system. © 2014 Springer International Publishing Switzerland.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Recommender systems; Trajectory mining; Sightseeing tours
Elenco autori:
Renso, Chiara; Nardini, FRANCO MARIA; Perego, Raffaele
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