Earticle

초록

영어

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.

목차

Abstract
1. INTRODUCTION
2. EXPERIMENTS
3. RESULT
4. DISCUSSION
REFERENCE

키워드

저자

• KIM HYUN SEOK [ Ph. D Student, Department of Immersive Content Convergence, Kwangwoon University, Korea ]
• Gi -hwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Korea ] Corresponding author
• kim im yeo-reum [ Deprtment of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Culture Technology(IJACT)

• 간기

  계간

• pISSN

  2288-7202

• eISSN

  2288-7318

• 수록기간

  2013~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700