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

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Published:06 June 2020Publication History

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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      • Published in

        cover image ACM Other conferences
        ISCSIC 2019: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control
        September 2019
        397 pages
        ISBN:9781450376617
        DOI:10.1145/3386164

        Copyright © 2019 ACM

        © 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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        New York, NY, United States

        Publication History

        • Published: 6 June 2020

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        Acceptance Rates

        ISCSIC 2019 Paper Acceptance Rate77of152submissions,51%Overall Acceptance Rate192of401submissions,48%

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