Document - A trajectory-based recommender system for tourism.

2012

Conference article Open Access

A trajectory-based recommender system for tourism.

Baraglia R., Frattari C., Muntean C. I., Nardini F. M., Silvestri F.

trajectory pattern mining tourist recommender systems

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.

Source: Active Media Technology. 8th International Conference, pp. 196–205, Macau, China, 4-7 December 2012

Publisher: Springer, London, GBR

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:221002,
	title = {A trajectory-based recommender system for tourism.},
	author = {Baraglia R. and Frattari C. and Muntean C.  I. and Nardini F.  M. and Silvestri F.},
	publisher = {Springer, London, GBR},
	doi = {10.1007/978-3-642-35236-2_20},
	booktitle = {Active Media Technology. 8th International Conference, pp. 196–205, Macau, China, 4-7 December 2012},
	year = {2012}
}