Istituto di Scienza e Tecnologie dell'Informazione     
Baraglia R., Frattari C., Muntean C. I., Nardini F. M., Silvestri F. A trajectory-based recommender system for tourism. In: AMT 2012 - Active Media Technology. 8th International Conference (Macau, China, 4-7 December 2012). Proceedings, pp. 196 - 205. Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.). (Lecture Notes in Computer Science, vol. 7669). Springer, 2012.
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.
URL: http://link.springer.com/chapter/10.1007/978-3-642-35236-2_20
DOI: 10.1007/978-3-642-35236-2_20
Subject Tourist recommender systems
Trajectory pattern mining
H.3.3 Information Search and Retrieval
H.2.8 Database Applications

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