SPETA: Social pervasive e-Tourism advisor

Authors:
Angel García-Crespo;Javier Chamizo;Ismael Rivera;Myriam Mencke;Ricardo Colomo-Palacios;Juan Miguel Gómez-Berbís
Affiliations:
Escuela Politécnica Superior, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain;Escuela Politécnica Superior, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain;Digital Enterprise Research Institute, National University of Ireland, Lower Dangan, Galway, Ireland;Escuela Politécnica Superior, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain;Escuela Politécnica Superior, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain;Escuela Politécnica Superior, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganés, Madrid, Spain
Venue:
Telematics and Informatics
Year:
2009

Citing 14
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Abstract

Tourism is one of the major sources of income for many countries. Therefore, providing efficient, real-time service for tourists is a crucial competitive asset which needs to be enhanced using major technological advances. The current research has the objective of integrating technological innovation into an information system, in order to build a better user experience for the tourist. The principal strength of the approach is the fusion of context-aware pervasive systems, GIS systems, social networks and semantics. This paper presents the SPETA system, which uses knowledge of the user's current location, preferences, as well as a history of past locations, in order to provide the type of recommender services that tourists expect from a real tour guide.