Title :
REJA: A Georeferenced Hybrid Recommender System for Restaurants
Author :
Martínez, L. ; Rodríguez, R.M. ; Espinilla, M.
Abstract :
Recommender systems have become a key tool in marketing processes in e-commerce, because they provide an added value to Web–based applications in order to keep customers. In the tourist sector, the use of tourist Web based sites has got a great success due to the fact that the easy integration of tourist business processes in Web based tools. In this contribution, we introduce a hybrid recommender system for restaurants, collaborative and knowledge-based, that is able to provide recommendations in any required situation by the users/customers; besides it provides information referred by Google Maps, regarding the recommendations. Such a system has been developed for our province, Jaén (Spain), but it can be easily extended for any other geographic area.
Keywords :
Application software; Business; Collaboration; Collaborative work; Conferences; Intelligent agent; Knowledge based systems; Marketing and sales; Proposals; Recommender systems; GIS; Recommender systems; hybrid systems;
Conference_Titel :
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Milan, Italy
Print_ISBN :
978-0-7695-3801-3
Electronic_ISBN :
978-1-4244-5331-3
DOI :
10.1109/WI-IAT.2009.259