PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Baraglia R., Frattari C., Muntean C. I., Nardini F. M., Silvestri F. RecTour: a recommender system for tourists. In: WI-IAT 2012 - IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (Macau, China, 4-7 December 2012). Proceedings, pp. 92 - 96. IEEE-ACM, 2012.
 
 
Abstract
(English)
This paper presents a recommender system that provides personalized information about locations of potential interest to a tourist. The system generates suggestions, consisting of touristic places, according to the current position and history data describing the tourist movements. For the selection of tourist sites, the system uses a set of points of interest a priori identified. We evaluate our system on two datasets: a real and a synthetic one, both storing trajectories describing previous movements of tourists. The proposed solution has high applicability and the results show that the solution is both efficient and viable.
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6511656
DOI: 10.1109/WI-IAT.2012.88
Subject Tourist recommender system
H.2.8 Database Applications
H.3.3 Information Search and Retrieval


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