Rule-Based Determination of Chinese tourists to Turkey Opt Profile

Abstract

Tourism has accounted for around 10% of the gross national product of countries around the world. There has been advantages which emerged with the announment of "2018 is Turkey Tourism Year" in China. Turkey ought to make activities right place, right time and right person to carried out to be more succesful on the promotion in China. In the study, it has intended to support Turkey's this activities with determine potential customer by use of artificial intelligence applications on Chinese consumers profile data. In this context, the domestic travel histories of Chinese consumers has collected on TripAdvisor. It has been used rule-based algorithm with decision trees from artificial intelligence algorithms and has been finded out profile of Chinese tourists's preferences of Turkey. Turkey's preference sensivity value is 0.941. This value has shown that possible to system can find tourists who will prefer Turkey. As a result of the study, it has been evaluated Xiamen and Macau cities of China which emerged in analysis in terms of marketing.