Study On Computer Assistant For Clothing Style Customization

With the high speed development of social economy, people’s living standard and lifequality rises ceaselessly. More and more people pay more attention to dress, they expect thepersonalized dress to reveal their taste and values. In order to meet the needs of consumers,domestic enterprises have launched the clothing customization system. However, the existingclothing customization system generally requires consumers to choose the styles on theirown.But in the face of many styles, consumers has so much choice and always has no senseto start. Although the personalized style recommendation can relieve this problem on acertain level, it is difficult to fully meet each consumer’s demand because of the specialnature of clothing. Therefore, how to combine the styles recommendation and clothingcustomization, and on the basis of the recommendation of style, how to make body customizedbecomes the key problem of assistant system of clothing style customization.In view of the above questions, making suit as the example, this article processes andanalyses the clothing style and customer information, and researches on the stylerecommendation and personalized customization. On the basis of the above, this paperdesigns and implements assistant system of clothing style customization for clothing store, and listthe main work as following:(1)Take suit as a example, the paper processes and analyses clothing feature data andcustomer characteristic data, and proposes the method for the suit characterization andcustomer characterization. By collecting and summarizing suit styles samples from theNOGARA clothing design department, this paper divides clothing characterization intoclothing style, color, fabric, placket, bifurcation, collar type, plate etc. By analyzing historicalcustom records from the NOGARA clothing design department, customers personalizedfeature information is divided into age, career, income, education background, wearing habitsetc.(2) Proposed the method on style preference model by using the ID3decision treeclassification algorithm. The method makes the customer’s individual characteristics such asage, career, income, education level as the decision tree condition attributes, and makes suitstyle feature as the decision tree category attribute. As a result, we can change the problem of customer style preference to a induction problem of the decision tree.(3) Studying the clothing personalized customization system, this paper proposescustomization method combining customers personalized characteristics and the needs ofindividual custom. By discussing the clothing structure in detail, this paper picks up stylecomponents suitable for customization, including collar, pocket, sleeve, placket, slit etc.(4)Through needs analysis, this paper analyses the procedure of the clothing stylecustomization, and provides the structure diagram of system function, style customizationflow chart, system architecture, database diagram etc., designs and implements the assistantsystem of clothing style customization. This system mainly includes three modules, thecustomer operation module provides feature such as style recommendation, style retrieve,customization of style components etc., the generic management module is mainly used tomanage orders and customer information, the system management module mainly providesthe feature of style management, style component management, recommendation rulesmanagement.