基于大数据分析的服装定制网的设计与实现

南昌航空大学学士学位论文基于大数据分析的服装定制网的设计与实现AbstractAmong the four rigid needs of "food,housing,transportation","food,housing,transportation"and "food,housing,transportation"have already appearedunicorn-level innovators.In contrast to these three,they are also one of the oldest andmost vital industries,"clothing."The represented clothing industry,due to the lengthy,extreme personalization,and complexity of the industrial chain,has never seencompanies that have caused major changes in the industry."Yi"has become the last"hard bone"to be changed.With the development of social economy and the continuous improvement ofpeople's living standards,consumers are no longer satisfied with solving the basicfood and clothing problems.People's pursuit of beauty is constantly improving andmore attention is paid to the quality of life.Similarly,the requirements for dressquality are also increasing.People no longer satisfy traditional clothing purchases andpay more attention to individualized choices.Therefore,the clothing customizationindustry has also emerged.Clothing customization can better meet people's individualneeds for clothing styles,colors,details,etc.People can customize clothing through abrowser.Users and administrators are the main roles of this website.This article mainlyintroduces the design and realization of clothing customization website.Afterregistering,users can log in to the system,and can view and modify their basicinformation and order details;they can also perform operations such as clothingcustomization and clothing matching management.The administrator has the right toquery and modify database information (style library,detail library,orders,etc.);itcan also realize the timely delivery of order information in all aspects of logistics.Theorder query module of the client provides customers with huge data support,which isconvenient Users inquire about order logistics information in a timely manner.The main innovations of this subject are clothing matching and matchingmanagement.The paper has pictures,tables,and 14 references.Key Words:lothing customization,personalization,digitization,user-oriented.tailor-made,big data