计算机科学
推荐系统
JavaScript
万维网
偏爱
服务(商务)
功能(生物学)
建筑
相似性(几何)
客户端
数据库
人工智能
艺术
图像(数学)
经济
进化生物学
经济
视觉艺术
生物
微观经济学
出处
期刊:Academic journal of computing & information science
[Francis Academic Press Ltd.]
日期:2020-07-03
卷期号:3 (3)
标识
DOI:10.25236/ajcis.2020.030301
摘要
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.
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