Research On Personalized Customization Method Based On User Needs

With the rapid development of science,technology,and society and economy,user needs are gradually shifting from functional pursuits to personalized customized experiences.Therefore,research on user needs and how to translate users' hidden needs into d esign languages for designers with the help of Internet information mining technology.In order to help designers carry out personalized design quickly and accurately,it is a problem that is worth studying and urgent to solve at present.At present,most of the researches on this are based on the obtained samples,but due to the limitations of the samples,it is difficult for personalized customization to achieve a good user experience and the degree of precision is not high.Therefore,this paper proposes a new the personalized customization model acquired by users and the personalized customization platform realized through design helps industrial designers to accurately connect users with personalized customization designs,and at the same time improve users' personalized customization participation experience.The main work and results of the paper are as follows:1)A new type of personalized customization model is constructed.The thesis analyzes and analyzes the principles and methods of using user surveys to obtain user needs offline,and the principles and methods of using big data mining technology to obtain user needs online.A new personalized customization model of "user-user portrait-design" is proposed.This customization model uses the Internet information and data mining technology to build a user portrait library that is related to user information and user needs,which can effectively help designers easily extract and "understand" user needs,improve the efficiency of personalized customization for designers,and enhance the user's customized experience through design feedback and timely communication from the designer.2)Design and implementation of personalized customization function module.The personalized customization model constructed in this paper is mainly divided into three functional modules: product portrait,user recommendation evaluation,and designer feedback.Among them,the product portrait module mainly collects static information of products and user dynamic review data from the Internet platform through collection and collection technology,and then through preprocessing,data mining,etc.Extracts the product features and emotional tendency words that the user cares about and labels them.Product,and final y form a label system to form a product portrait;the user recommendation evaluation module mainly implements product sample recommendations for users in the process of product image formation,helping users to choose the intended product and evaluate its product characteristics;the designer feedback module is divided into design two parts for user portraits and needs.The user portrait is a user portrait that includes the user's personal basic information and is formed after the user evaluates the product,thereby forming a user portrait library.Requirement design means that the designer extracts the userdefined requirements from the visual tags of the composed user portrait and uses the design knowledge and experience to turn them into design goals for product design.3)Personalized customization platform design and application verification.In order to facilitate industrial designers to carry out personalized customization services and interact with users,the thesis designed a personalized customization platform.The platform adopts B / S architecture,uses Java Script + HTML5 + CSS3 and Bootstrap framework to design system front-end pages on Visual Studio Code,and uses Java + Servlet + JSP(Java Server Pages)and My SQL5.0 database,Spring framework,Spring MVC Back-end server development on Eclipse.The application is verified with examples.