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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Vydané 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 autori: Martinez, L., Rodriguez, R. M., Espinilla, M.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Edícia:ACM Conferences
Predmet:
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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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.
AbstractList 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.
Author Martinez, L.
Espinilla, M.
Rodriguez, R. M.
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Snippet 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...
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...
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StartPage 187
SubjectTerms 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
Subtitle A Georeferenced Hybrid Recommender System for Restaurants
Title REJA
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