In the restaurant industry, along with the fourth industry, there is a food technology craze due to IT development. In addition, many prospective restaurant founders are increasing due to restaurant start-ups with relatively low entry barriers. And ChatGPT is causing a craze for chatbots. Therefore, the purpose of this paper is to analyze factors for restaurant start-ups with big data and implement a system to make it easier for prospective restaurant start-ups to recommend restaurant start-ups that suit them and further increase the success rate for restaurant start-ups. Therefore, this paper is meaningful in analyzing the start-up factors desired by prospective restaurant founders with big data, turning them into text, and furthermore, designing and studying the start-up factors shown as big data into a restaurant start-up chatbot system.
목차
Abstract 1. Introduction 2. Main subject 1. Chatbot Overview 2. Big Data 3. Method 4. Empirical analysis 1) Big Data Analysis of &quat;Restaurant Start-ups&quat; 2) Implementation of the &quat;Restaurant Start-up&quat; Chatbot System 5. Conclusion References
Sung-woo Park [ Department of Immersive Content Convergence, Graduate School of Kwangwoon University, Seoul, Korea ]
Gi-Hwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
Corresponding Author