A Personalized Clothing Recommendation And Match System Based On Expert Knowledge

With the increase of individualized wearable consciousness,clothing is not only the basic living demand,but also the important carrier to enhance self-taste and image.However,in the daily shopping,the various clothes on the e-commerce platform,especially the fast fashion brands,often appear to be blind,and often regret consumption.Providing personalized clothing recommendations and match has become a major consumer demand for young consumers.Based on the above background,a personalized clothing recommendation and match system based on expert system has been designed and developed in this paper,which aims to guide consumers to choose the suitable clothing on the perspective of professional match.The main work is as follows:(1)Study clothing recommendation and match experience provided by experts.Based on color theory,clothing profile and other professional knowledge,we have refined six factors affecting customer dress,transformed the thinking mode of experts into the storage mode and mechanism that the system can handle and established the electronic clothing knowledge base.(2)For the problem of finding similar colors in the recommendation collocation,through the pantone,RGB and HSV three color representation conversions,the color space of each color system is expanded and the color similarity calculation is applied to perform color expansion in a manner suitable for computer processing.(3)Study the related technology and process of system development,we have configured the development environment.We use Tomcat,Objective-C,Java and My SQL to build the IOS client and background server.This paper explains the analysis and design of the system in detail.The system makes the functions come true,which include the clothing recommendation and matching,personal assessment,personal wardrobe and so on.The on-line operation of the system will provide users with a novel clothing purchasing model.