International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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AR Tourism Recommendation System Based on Character-Based Tourism Preference Using Big Data

  • Kim, In-Seon (Graduate School of Smart Convergence, Kwangwoon University) ;
  • Jeong, Chi-Seo (Graduate School of Smart Convergence, Kwangwoon University) ;
  • Jung, Tae-Won (Department of Realistic Convergence Contents Kwangwoon University Graduate School) ;
  • Kang, Jin-Kyu (The Spatial Party) ;
  • Jung, Kye-Dong (Ingenium College of liberal arts, Kwangwoon University)
  • Received : 2020.11.17
  • Accepted : 2020.11.27
  • Published : 2021.02.28
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Abstract

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

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References

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