Context Aware Recommender Systems for Tourism: A Concise Review

Asmae Bentaleb; Younes El Bouzekri; Ayoub Ait Lahcen; Mohammed Boulmalf

dc.contributor.author	Asmae Bentaleb
dc.contributor.author	Younes El Bouzekri
dc.contributor.author	Ayoub Ait Lahcen
dc.contributor.author	Mohammed Boulmalf
dc.date.accessioned	2019-06-18T10:14:59Z
dc.date.available	2019-06-18T10:14:59Z
dc.date.issued	2018-10-21
dc.identifier.uri	http://e-biblio.univ-mosta.dz/handle/123456789/10921
dc.description.abstract	Nowadays, 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.publisher	2018 IEEE 5th International Congress on Information Science and Technology (CiSt)	en_US
dc.subject	Recommendation	en_US
dc.subject	Context	en_US
dc.subject	Tourism	en_US
dc.title	Context Aware Recommender Systems for Tourism: A Concise Review	en_US
dc.type	Article	en_US