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.
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Index Terms
- An Optimal Travel Route Recommender System for Tourists in Om Non Canal, Thailand
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