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Design of Self Lunchbox App based on Big Data

빅데이터 기반으로 직접 만드는 도시락 앱 설계

  • Cho, Kwangmoon (Dept. of Electronic Commerce, Mokpo National University)
  • 조광문 (목포대학교 전자상거래학과)
  • Received : 2019.07.20
  • Accepted : 2019.09.30
  • Published : 2019.12.31

Abstract

The 1-serving lunchbox app is designed and developed for enabling consumers to order their lunch box by choosing their own lunch side dishes. In modern society, one-person households are growing in larger areas. It is too burdensome to handle alone because it is cumbersome to cook alone and you should order from two people in a restaurant shop. To resolve such inconveniences, it is an app to choose various detailed menus and order personalized lunches. In the process of selecting a detailed menu, information provided by big data is used. You can use the existing order through the bookmark function, or you can use the recommended lunch menu using big data.

References

  1. http://econonews.co.kr/news/articleView.html?idxno=10793
  2. Korean Statistical Information Service, http://www.kosis.kr
  3. http://www.meconomynews.com/news/articleView.html?idxno=7552
  4. http://www.mhj21.com/120627
  5. Google Store - Hansot Lunchbox
  6. Google Store - Yogiyo
  7. Google Store - Baemin
  8. Younghyun Jang, Top Android App Developer:
  9. m-BizStore, Wonderful Soft.
  10. K.M.Cho, "Development of Notify App for Cosmetics Expiration Date," Journal of Digital Convergence, Vol.13, No.3, pp.179-184, 2015.
  11. K.M.Cho, "Development of Gift Recommendation App according to the Individual Preference fused with e-Commerce," Journal of Digital Convergence, Vol.13, No.8, pp.261-265, 2015. https://doi.org/10.14400/JDC.2015.13.8.261
  12. J.K.Cho, "A Study of User Text Sentiment Dictionary for Food Recommendation Service on Big Data Environment," Journal of Knowledge Information Technology and Systems, Vol.14, No.4, pp.327-334, 2019. https://doi.org/10.34163/jkits.2019.14.4.002
  13. J.C.Lee and, M.H.Lee, "Big data-based information recommendation system," Journal of the Korea Institute of Information and Communication Engineering, Vol..22, No.3, pp.443-450, 2018.
  14. J.H.Kim and Y.G.Jung, "Recommendation System in the Environment of Big Data," Proceedings of Summer Conference of ICT Platform Society, Vol.1, No.1, pp.58-60. 2013.
  15. Y.D.Seo and J.H.Ahn, "Enhanced User Taste Prediction Method for Efficient Content Recommendation Using Bigdata," Proceedings of Conference of the Korea Institute of Information Technology, pp.139-141, 2014.