The week's pick
Reseach Article
Tourism Recommender Systems: An Overview of Recommendation Approaches
by
Larbi Kzaz,
Dounia Dakhchoune,
Dounia Dahab
| 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