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Tourism Recommender Systems: An Overview of Recommendation Approaches

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Larbi Kzaz, Dounia Dakhchoune, Dounia Dahab

Larbi Kzaz, Dounia Dakhchoune and Dounia Dahab. Tourism Recommender Systems: An Overview of Recommendation Approaches. International Journal of Computer Applications 180(20):9-13, February 2018. BibTeX

	author = {Larbi Kzaz and Dounia Dakhchoune and Dounia Dahab},
	title = {Tourism Recommender Systems: An Overview of Recommendation Approaches},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {20},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {9-13},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2018916458},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Recommender systems have become an active research topic during the last two decades, thus giving rise to several approaches and techniques. They have also become increasingly popular among practitioners and used in variety of areas including movies, news, books, research articles restaurants, garments, financial services, insurance, social tags and products in general. Tourism is an important sector for economic development and a potential application area of use of recommender systems. This paper presents an overview of existing recommender approaches used in tourism and discusses their relevance taking into account tourism context and specificities.


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Recommender systems; Tourism field; Content based; Collaborative based; Ontology Based; Hybrid Recommender System.