SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities

Authors:
Antonio Moreno;Aida Valls;David Isern;Lucas Marin;Joan BorríS
Affiliations:
Departament d'Enginyeria Informítica i Matemítiques, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA), Universitat Rovira i Virgili, Av. Països Catalans, 26. 4300 ...;Departament d'Enginyeria Informítica i Matemítiques, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA), Universitat Rovira i Virgili, Av. Països Catalans, 26. 4300 ...;Departament d'Enginyeria Informítica i Matemítiques, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA), Universitat Rovira i Virgili, Av. Països Catalans, 26. 4300 ...;Departament d'Enginyeria Informítica i Matemítiques, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA), Universitat Rovira i Virgili, Av. Països Catalans, 26. 4300 ...;Science & Technology Park for Tourism and Leisure, C/Joanot Martorell, 15. 43480 Vila-Seca, Catalonia, Spain
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

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Abstract

SigTur/E-Destination is a Web-based system that provides personalized recommendations of touristic activities in the region of Tarragona. The activities are properly classified and labeled according to a specific ontology, which guides the reasoning process. The recommender takes into account many different kinds of data: demographic information, travel motivations, the actions of the user on the system, the ratings provided by the user, the opinions of users with similar demographic characteristics or similar tastes, etc. The system has been fully designed and implemented in the Science and Technology Park of Tourism and Leisure. The paper presents a numerical evaluation of the correlation between the recommendations and the user's motivations, and a qualitative evaluation performed by end users.