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Academic Journal of Computing & Information Science, 2020, 3(3); doi: 10.25236/AJCIS.2020.030301.

Intelligent ordering recommendation system based on microservice

Author(s)

Xue Yuchen

Corresponding Author:
Xue Yuchen
Affiliation(s)

School of Chongqing Jiaotong University 400074, ,Chongqing, China.
*Email: xueyuchen625@outlook.com

Abstract

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.

Keywords

ordering system intelligent recommendation microservice

Cite This Paper

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.

References

[1] Liu Bingwei. Research and development of company meal ordering system based on spring MVC [D]. Xinjiang University, 2018
[2] Sun yancui. Design and implementation of mobile ordering system based on collaborative filtering algorithm [D]. Beijing University of technology, 2016
[3] Zhang Jianhao. Design and implementation of online ordering system based on SSH framework [D]. Hebei Agricultural University, 2013
[4] Liu Ting. Application Research of recommendation algorithm in mobile ordering system [J]. Wireless Internet technology, 2018,15 (11): 107-110
[5] Li penglin, Hong Zhiyuan, Li Wei. An algorithm of University Book Recommendation Based on interest and type factors [J]. Journal of Zhejiang University of technology, 2019,47 (04): 425-429
[6] Li Mingxiu, Wang Shujun, Jia Ru, Chen Lirong. Collaborative filtering algorithm based on time information fusion of multiple bias terms [J]. Software engineering, 2019,22 (06): 17-21 + 12