Istituto di Scienza e Tecnologie dell'Informazione     
Brilhante I. R., Macedo J. A., Nardini F. M., Perego R., Renso C. On planning sightseeing tours with TripBuilder. In: Information Processing & Management, vol. 51 (2) pp. 1 - 15. Elsevier, 2015. [Online First 30 October 2014]
We propose TripBuilder, an unsupervised framework for planning personalized sightseeing tours in cities. We collect categorized Points of Interests (PoIs) from Wikipedia and albums of geo-referenced photos from Flickr. By considering the photos as traces revealing the behaviors of tourists during their sightseeing tours, we extract from photo albums spatio-temporal information about the itineraries made by tourists, and we match these itineraries to the Points of Interest (PoIs) of the city. The task of recommending a personalized sightseeing tour is modeled as an instance of the Generalized Maximum Coverage (GMC) problem, where a measure of personal interest for the user given her preferences and visiting time-budget is maximized. The set of actual trajectories resulting from the GMC solution is scheduled on the tourist's agenda by exploiting a particular instance of the Traveling Salesman Problem (TSP). Experimental results on three different cities show that our approach is effective, efficient and outperforms competitive baselines.
URL: http://www.sciencedirect.com/science/article/pii/S0306457314000922
DOI: 10.1016/j.ipm.2014.10.003
Subject Recommender systems
Trajectory mining
Sightseeing tours
H.3.3 Information Search and Retrieval

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