Global Journal of Information Technology: Emerging Technologies

Global Journal of Information Technology: Emerging Technologies

Developing an intelligent trip recommender system by data mining methods

Yazarlar: Tamer Uçar, Adem Karahoca

Cilt 6 , Sayı 1 , 2016 , Sayfalar 119-127

Konular:

DOI:10.18844/gjit.v6i1

Anahtar Kelimeler:  Trip recommender,Data mining,Expert systems

Özet: Internet has a very wide usage in almost every sector. People are continuously looking and searching for information through internet. Narrowing down relevant search results is not a very simple task. Recommender systems are being used in almost every search related area. Tourism domain is one of these sectors. This study proposes an implementation of an expert system framework which can accurately classify users and make predictions about user classifications for recommending tourism related services. Proposed approach predicts clusters for system users and according to these user clusters, trips, hotels and such services can be recommended individually or as a campaign to target user or user groups.  

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@article{2016, title={Developing an intelligent trip recommender system by data mining methods}, volume={6}, number={119–127}, publisher={Global Journal of Information Technology: Emerging Technologies}, author={Tamer Uçar, Adem Karahoca}, year={2016} }
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Tamer Uçar, Adem Karahoca. (2016). Developing an intelligent trip recommender system by data mining methods (Vol. 6). Vol. 6. Global Journal of Information Technology: Emerging Technologies.
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Tamer Uçar, Adem Karahoca. Developing an Intelligent Trip Recommender System by Data Mining Methods. no. 119–127, Global Journal of Information Technology: Emerging Technologies, 2016.
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