A Chatbot Prototype by Deep Learning Supporting Tourism

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Pannee Suanpang, Pitchaya Jamjuntr


The tourism industry is very competitive and artificial intelligence (AI) or machine learning (ML) especially deep learning (DL) is used in several aspects in the tourism industry. One application is playing an important role which is Chatbot as service automation. Due to a lot of tourists being unfamiliar with the service process, Chatbot can solve the difficulties of accessing the necessary information such as booking a hotel near a tourist place. This paper proposes the development and application of a tourism Chatbot for tourists who come to Active Beach zone, including Chonburi, Rayong, Chanthaburi and Trat province in Thailand. It provides the required information and tourism recommendations. The experiment was designed and developed by monitoring the communication between the Chatbot and tourists. The results showed positive perceptions in successful tourism service. The Chatbot can provide the required information for tourist from a stored database. However, the Chatbot still needs more development to handle complex question or situations for gaining tourist satisfaction

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