소상공인 경쟁력 강화를 위한 빅데이터 기반의 식자재 추천 플랫폼의 설계

Abstract

According to the rapidly growing of online-to-offline services (O2O), small-business owners are forced to rely on the services and their fee burden has been increasing. This changes in the small-business industry creates demands of introduction a digital system for the qualitative growth. Thus, in this paper, we suggest to develop a big data-based food materials recommendation platform. In terms of the food materials, vegetables, in particular, are fluctuated production and prices depending on the effects of the climate. This paper aims to predict the food materials prices by learning big data such as various existing food materials prices and climatic data etc. through open-source Deep-Learning. In addition, we designed the platform to provide information for the small business owners to purchasing food materials at reasonable prices in order to enhance service satisfaction and the continuous use intention of the platform.