Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recommender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a touristic location/city. The touristic sites correspond to a set of points of interest identified a priori. We propose several metrics to evaluate both the spatial coverage of the dataset and the quality of recommendations produced. We assess our system on two datasets: a real and a synthetic one. Results show that our solution is a viable one. © 2012 Springer-Verlag.
A trajectory-based recommender system for tourism / Baraglia, R.; Frattari, C.; Muntean, C. I.; Nardini, F. M.; Silvestri, F.. - 7669:(2012), pp. 196-205. (Intervento presentato al convegno 8th International Conference on Active Media Technology, AMT 2012 tenutosi a Macau, chn) [10.1007/978-3-642-35236-2_20].
A trajectory-based recommender system for tourism
Silvestri F.
2012
Abstract
Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recommender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a touristic location/city. The touristic sites correspond to a set of points of interest identified a priori. We propose several metrics to evaluate both the spatial coverage of the dataset and the quality of recommendations produced. We assess our system on two datasets: a real and a synthetic one. Results show that our solution is a viable one. © 2012 Springer-Verlag.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
