Publication | Closed Access
REJA: A Georeferenced Hybrid Recommender System for Restaurants
49
Citations
17
References
2009
Year
Unknown Venue
EngineeringDigital MarketingText MiningInformation RetrievalData ScienceData MiningRecommender SystemsManagementRecommendation SystemsNews RecommendationKnowledge DiscoveryE-service PersonalizationCold-start ProblemMarketingGroup RecommendersDestination MarketingInteractive MarketingHybrid Recommender SystemTourist WebTourismCollaborative Filtering
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.
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