The Food Recommendation System Based On WeChat Applet

As a service of the social network,delicious food is gradually integrated with the online community into an Internet food economic industrial chain.In the fast-paced life,compared with the traditional food website,to solve the problem of what people eat,it is very necessary to build a food recommendation system based on We Chat applet with clear architecture and abundant resources to serve users to provide dishes and prices to display food.In the traditional related food promotion website overall architecture,function and design of process analysis,on the basis of using We Chat applet,with the help of We Chat developer tools and VSCode code editor,using the Vue and Koa server-side framework,selects the Mongo DB database,realize the system.Through practical application,the system will be offline services and Internet together,simple and convenient and easy to use,functional design is reasonable,stable and reliable running.