International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Recommendation of tourist attractions based on Preferences using big data

  • KIM HYUN SEOK (Department of Immersive Content Convergence, Kwangwoon University) ;
  • Gi-hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University) ;
  • kim im yeo-reum (Deprtment of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2023.08.11
  • Accepted : 2023.09.01
  • Published : 2023.09.30
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Abstract

This paper proposes a tourist destination recommendation application that combines a chatbot and a recommendation system. The data to be entered into the chatbot was through big data on social media. Through TEXTOM, a total of 22,701 data were collected over a one-year period from January 2022 to January 2023. Non-terms that interfere with analysis were removed through the data purification process. Using refined data, network visualization and CONCOR analysis were used to identify the information users want to obtain about travel to Jeju Island, and categories for each cluster were organized. The content was intuitively organized so that even those who approached it for the first time could easily use it, reducing the difficulty of operating the application. In this paper, users can select their own preferences and receive information. In addition, a tool called a chatbot allows users to focus more on the process of acquiring information by gaining a sense of reality while operating the application. This suggests an application that can reach the purpose of the curator by affecting the user's desire to visit tourist attractions.

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References

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