The intelligent ordering recommendation system is to help customers find the right dishes, overcome the shortcomings of information overload, through the analysis of customer's behavior, summarize customer's interest, so as to predict customer's interest and preference, and make the dishes recommendation associated with customer's interest and preference. In order to overcome the complexity of single application, we use the micro service architecture to design and implement an intelligent ordering recommendation system based on the micro service. We use the recommendation algorithm based on the user's label preference to label each dish. By analyzing the similarity between each dish and the user's preference label, we can realize the recommendation of the user's dishes Function. In the design and development stage, the development of the server and client side of the system adopts B / S structure, supplemented by JavaScript, J2EE Web program development technology and MySQL database development technology to create a website.

Xue Yuchen. Runtime Probabilistic Intelligent ordering recommendation system based on microservice . Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 3: 1-8. https://doi.org/10.25236/AJCIS.2020.030301.

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