Autores
Cabrera Rivera Luis
Vilches Blázquez Luis Manuel
Torres Ruiz Miguel Jesús
Moreno Ibarra Marco Antonio
Título Semantic Recommender System for Touristic Context Based on Linked Data
Tipo Congreso
Sub-tipo Indefinido
Descripción 7th International Workshop on Information Fusion and Geographic Information Systems: Deep Virtualization for Mobile GIS (IF&GIS’ 2015) Lecture Notes in Geoinformation and Cartography. Springer Inter
Resumen The lack of personalization presented in touristic itineraries that are offered by travel agencies involve a little flexibility. Basically, they are designed with the points of interest (POIs) that have more relevance in the area. On the other hand, there are POIs that have agreements with the agencies, which originate a excluding POIs that could be interesting for the tourist. In this work, a method capable to use the user preferences, like POIs and activities that user wants to realize during their vacations is proposed. Moreover, some weighted features such as the max distance that user wants to walk between POIs, and opinions of other users, coming from the web 2.0 by means of social media are taken into account. As result, a personalized route, which is composed of recommended POIs for the user and satisfied the user profile is provided.
Observaciones DOI 10.1007/978-3-319-16667-4_5
Lugar Grenoble
País Francia
No. de páginas 77-89
Vol. / Cap.
Inicio 2015-05-18
Fin 2015-05-20
ISBN/ISSN 978-3-319-16666-7