Apparel Industry User Behavior Prediction Method And Ordering System Development

The ordering system is in the position of the production and sales system of the g arment industry.The company obtains orders for the ordering meeting,and all subseq uent plans and activities are carried out around the order.The convenient,timely,safe and low-cost ordering system is the most basic requirement of the garment industry.The traditional ordering system have become unsuitable for the new fast iterative mar ket.The use of the iPad to achieve a mobile ordering system has very practical significance.This thesis mainly carried out research work from the following aspects:1.The method of predicting user behavior in the ordering system is proposed.T hrough the historical data onto the ordering,the user's click behavior is trans formed into the classification problem according to the performance of th e characteristic value in the click order.2.A multi-dimensional ordering user data classification method is proposed:th e influencing factors of user click behavior are analyzed,the classification m odel is established,the parameters of the classification model are optimize d,the accuracy of user behavior prediction classification is improved,and th e classification problem of the type is carried out.Explore and expanded.3.Develop the iPad clothing ordering system based on user behavior predictio n:developed a complete ordering system,and introduced the user behavio r prediction optimization algorithm in the ordering system.System optimizat ion under discussion and expansion.