International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Recommended Chocolate Applications Based On The Propensity To Consume Dining outside Using Big Data On Social Networks

  • Lee, Tae-gyeong (Kwangwoon University, Graduate School of Smart Convergence, Institute of Tourism Industry) ;
  • Moon, Seok-jae (Kwangwoon University, Institute of Information Technology) ;
  • Ryu, Gihwan (Kwangwoon University, Graduate School of Smart Convergence, Institute of Tourism Industry)
  • Received : 2020.08.05
  • Accepted : 2020.09.08
  • Published : 2020.09.30
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Abstract

In the past, eating outside was usually the purpose of eating. However, it has recently expanded into a restaurant culture market. In particular, a dessert culture is being established where people can talk and enjoy. Each consumer has a different tendency to buy chocolate such as health, taste, and atmosphere. Therefore, it is time to recommend chocolate according to consumers' tendency to eat out. In this paper, we propose a chocolate recommendation application based on the tendency to eat out using data on social networks. To collect keyword-based chocolate information, Textom is used as a text mining big data analysis solution.Text mining analysis and related topics are extracted and modeled. Because to shorten the time to recommend chocolate to users. In addition, research on the propensity of eating out is based on prior research. Finally, it implements hybrid app base.

Keywords

References

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