Abstract
The paper presents a tourist trip planning system that is aimed at offline attractions recommendation for a tourist based on current situation in the region and user profiles. Authors present the related work analysis in this area and based on this analysis develop the reference model of the proposed system and describe implementation that is based on previously developed Tourist Assistant — TAIS.
Highlights
According to the UNWTO World Tourism Organization, the total number of international tourist trips increased from 25 million in 1950 to 674 million in 2000, and to 1.235 million in 2016
E-tourism systems provide a good opportunity for mobile services that help tourists by offering recommendations based on their preferences and context [2]
The main idea of the approach is that TAIS consists of several services, which are united by the smart space for providing the tourist with information according to personal preferences and current situation in the location
Summary
According to the UNWTO World Tourism Organization, the total number of international tourist trips increased from 25 million in 1950 to 674 million in 2000, and to 1.235 million in 2016. E-tourism systems provide a good opportunity for mobile services that help tourists by offering recommendations based on their preferences and context [2]. Presented in the paper Tourist Trip Planning System is based on developed earlier Tourist Assistant — TAIS [3] that is a system that proactively recommends the tourist attractions around, which is currently better to attend personally for him\her. The main idea of the approach is that TAIS consists of several services, which are united by the smart space for providing the tourist with information according to personal preferences and current situation in the location.
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