Reja: A georeferenced hybrid recommender system for restaurants

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. © 2009 IEEE.