REJA A Georeferenced Hybrid Recommender System for Restaurants

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 to...

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Vydáno v:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Ročník 3; s. 187 - 190
Hlavní autoři: Martinez, L., Rodriguez, R. M., Espinilla, M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Edice:ACM Conferences
Témata:
Application software
Business
Collaboration
Collaborative work
Conferences
GIS
hybrid systems
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > Information retrieval > Retrieval tasks and goals > Document filtering
Information systems > Information retrieval > Retrieval tasks and goals > Information extraction
Information systems > Information retrieval > Users and interactive retrieval > Personalization
Information systems > World Wide Web > Web searching and information discovery > Personalization
Intelligent agent
Knowledge based systems
Marketing and sales
Proposals
Recommender systems
GIS
Recommender systems
hybrid systems
ISBN:0769538010, 9780769538013
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Shrnutí: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.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.259