http://www.cnr.it/ontology/cnr/individuo/prodotto/ID215277
RecTour: a recommender system for tourists (Abstract/Poster in convegno)
- Type
- Label
- RecTour: a recommender system for tourists (Abstract/Poster in convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Alternative label
[1] Baraglia R., [1] Nardini F. M., [1]Silvestri F., [2] Frattari C., [3] Muntean C. I. (2012)
RecTour: a recommender system for tourists
in International Workshop on Tourism Facilities, Macau, China, 4 December 2012
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- [1] Baraglia R., [1] Nardini F. M., [1]Silvestri F., [2] Frattari C., [3] Muntean C. I. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Progetto VIsual Support to Interactive TOurism in Tuscany - Acronimo VISITO Tuscany - Grant agreement D57E09000050007
Tipo Progetto EU_FP7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
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- PuMa (literal)
- Abstract (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- [1] CNR-ISTI, Pisa; [2] University of Pisa, Italy; [3] Babes-Bolyai University, Cluj-Napoca, Romania (literal)
- Titolo
- RecTour: a recommender system for tourists (literal)
- Abstract
- 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. (literal)
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