Engineering Management Reviews (EMR)

Editor-in-Chief: Prof. Dr. Lai Yifei
Frequency: Semi-annually
ISSN Online: 2326-5884
ISSN Print: 2326-5876
Paper Infomation

Advanced Tourist Trip Planning Using Hybrid Recommender

Full Text(PDF, 666KB)

Author: Saso Koceski, Biljana Petrevska

Abstract: The paper intends to underline that tourists’ and travelers’ behaviour and preferences have changed dramatically specifically to the way how they search for information. In order to create a tailor-made itinerary and to enhance the way of planning a tourist trip, the paper suggests introduction of tourism recommendation systems. For this purpose, a methodology is proposed that assists all interested parties in planning their vacation on more intelligent and sophisticated way by generating a personalized list of favorable items. By application of this approach, consumers can create custom-made ideal holiday, thus resulting in satisfied tourists with access to various information on prices, distributors, providers and entire market of competitors, and pays for a high quality service.

Keywords: Tourism; Recommendation Systems; Tourist Trip; Planning


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