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Tourism Recommender Systems: An Overview of Recommendation Approaches
Author(s) -
Larbi Kzaz,
Dounia Dakhchoune,
Dounia Dahab
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018916458
Subject(s) - computer science , recommender system , tourism , data science , world wide web , information retrieval , history , archaeology
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. General Terms Information systems, information retrieval; retrieval tasks and goals; recommender system

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