Context Aware Recommender Systems for Tourism: A Concise Review

dc.contributor.authorAsmae Bentaleb
dc.contributor.authorYounes El Bouzekri
dc.contributor.authorAyoub Ait Lahcen
dc.contributor.authorMohammed Boulmalf
dc.date.accessioned2019-06-18T10:14:59Z
dc.date.available2019-06-18T10:14:59Z
dc.date.issued2018-10-21
dc.description.abstractNowadays, with the huge amount of data available to users, it has become difficult and tedious to choose the information that are suitable for them. Hence, the need of recommender systems has been arisen. Such architectures have been implemented in several domains and applications such as health and e-commerce. This paper focuses on the tourism field and presents an up to date survey considering the latest approaches that have been proposed to implement context-aware recommender systems for this domain.en_US
dc.identifier.urihttp://e-biblio.univ-mosta.dz/handle/123456789/10921
dc.publisher2018 IEEE 5th International Congress on Information Science and Technology (CiSt)en_US
dc.subjectRecommendationen_US
dc.subjectContexten_US
dc.subjectTourismen_US
dc.titleContext Aware Recommender Systems for Tourism: A Concise Reviewen_US
dc.typeArticleen_US

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