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Tourism Recommender Systems: An Overview of Recommendation Approaches

by Larbi Kzaz, Dounia Dakhchoune, Dounia Dahab
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 20
Year of Publication: 2018
Authors: Larbi Kzaz, Dounia Dakhchoune, Dounia Dahab
10.5120/ijca2018916458

Larbi Kzaz, Dounia Dakhchoune, Dounia Dahab . Tourism Recommender Systems: An Overview of Recommendation Approaches. International Journal of Computer Applications. 180, 20 ( Feb 2018), 9-13. DOI=10.5120/ijca2018916458

@article{ 10.5120/ijca2018916458,
author = { Larbi Kzaz, Dounia Dakhchoune, Dounia Dahab },
title = { Tourism Recommender Systems: An Overview of Recommendation Approaches },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 180 },
number = { 20 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number20/29046-2018916458/ },
doi = { 10.5120/ijca2018916458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:11.242686+05:30
%A Larbi Kzaz
%A Dounia Dakhchoune
%A Dounia Dahab
%T Tourism Recommender Systems: An Overview of Recommendation Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 20
%P 9-13
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

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

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