Design Of Mobile Wechat Mall System And Research Of Commodity Recommendation System

In network economy times of expanding of online shopping,WeChat shopping system application provides a new thinking for more convenient online shopping experience.Online shopping system is a electronic mall front-end platform.Now mainstream online shopping system provides commodity recommendation function besides basic commodity purchase.System mining data from trade information and recommends commodity that users will be interested on.Electricity supplier recommendation has commercial significance.Recommendation system combines enterprise requirements for framework design,the key is the recommendation engine,including recommendation algorithm research and recommendation system integration.The system developer uses WeChat public platform which provides a perfect interface to design and development of a e-commerce system,and the system achieve commodity recommendation using EasyRec plug-in components.Online shopping based on WeChat provides friendly experience and function.The project in this paper is a system which includes a B2 C online shopping system based on WeChat and it recommend commodity using EasyRec plug-in components.The e-commerce system is supported by WeChat public platform,users follow with interest a WeChat Official Account,entry the page of front end,then buy goods and make orders.The system includes front-end modules and background management system modules,the front-end modules provide shopping process and some basic management functions for users,and the background management system is a CRM system that is developed by using SSI frame.It provides various services for front-end modules and background management system modules,system menu configuration,system parameter configuration,role management,user management,financial settlement and so on,it provides related role users with functions of product configuration,order processing,mall management,customer management and so on.Finally the experiment shows the time of service response and page loading meet requirements and the performance meet needs.