An Optimal Travel Route Recommender System for Tourists in Om Non Canal, Thailand

P. Jomsri
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引用次数: 2

Abstract

The unique tourism style of Thailand is boat trip. Om Non Canal is the canal that still has the original waterway lifestyle. There are many tourist attractions such as cultural attractions, floating market routes, and Thai way of tourist attractions. Therefore, in this research, Machine Learning Based Approach Techniques and Analytic Hierarchy Process Techniques is applied for introducing the attractions by considering POIs (Points of Interest), travel dates, previous attractions which users travel to support the development and to introduce the information of water travel attractions around the Om Non Canal. From the results of the experiment, it was found that the travel route recommender system is suitable for tourism planning around the Om Non Canal. It is useful for the tourists and the tourism business operators.
泰国欧侬运河游客最优旅游路线推荐系统
泰国独特的旅游风格是乘船旅行。奥姆农运河是保留了原有水路生活方式的运河。有许多旅游景点,如文化景点,浮动市场路线,泰国方式的旅游景点。因此,在本研究中,采用基于机器学习的方法技术和层次分析法技术,通过考虑poi(兴趣点)、旅行日期、用户以前旅行过的景点来支持开发,并介绍Om Non运河周围水上旅游景点的信息,来介绍景点。实验结果表明,该旅游路线推荐系统适用于欧姆侬运河周边地区的旅游规划。这对游客和旅游经营者都是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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