Open AccessRecommending Tourism Destination using Collaborative Filtering
Author(s) -
Rahmatina Ari Apriliana,
Fathan Ahmad Hidayatullah,
Almed Hamzah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/803/1/012032
Subject(s) - tourism , collaborative filtering , destinations , recommender system , tourist destinations , computer science , interface (matter) , world wide web , marketing , business , geography , archaeology , bubble , maximum bubble pressure method , parallel computing
Tourism is among the interesting area of research as more people traveling to various destinations worldwide. With the vast amount of places to visit, there is a problem for tourist to determine which place is most suitable for them in terms of their preferences. However, it can be solved by the means of technology. This paper propose the use of recommender techniques to help tourist in selecting the most preferable destinations. A web-based application was built as an interface with the tourist. The result shows that the system is functioning as it expected. Future directions are discussed.