Design And Implementation Of A Publishing House Mall Information Management System Based On Data Mining

The rapid development of e-commerce market in recent years is that,on the one hand,e-commerce platform needs to provide diverse and innovative services to meet the different needs of the users,on the other hand,the rapid growth of the number of users has led to the increasing load of the e-commerce platform server.In 2009,the author's publishing house set up its own e-commerce platform.Because of the early development of the e-commerce platform,the rapid growth of the user caused the platform server to be unable to bear huge amount of access at present.At the same time,the lack of function of the platform can not provide the popular e-commerce user experience.The purpose of this paper is to introduce how to design and rebuild the information management system of the publishing house,which requires diversified commodity browsing,a powerful fuzzy search and search method,free and free and customizable promotion mode,convenient electronic online payment function,automatic recommendation of related goods according to user preferences,and perfect pre-sale.The development of this system is based on MVC,and is based on data mining technology.The front end of the system uses Nginx to meet the load problems in the use process,and improves the stability,security and practicability of the system.In the process of rebuilding the information management system of the publishing house mall,the author is responsible for developing the following modules:Member management module: to add,edit,delete and member hierarchy,and to provide a member in the system to leave a message,after the message is successful,prompt the corresponding system staff to reply and deal with them in time.Commodity management module: the main realization of the basic information management of goods,commodity upload and statistics and preferential activities management of the three sub functions,and then the whole commercial information editing and upload of all the standardized management.Commodity order management module: the main realization of the system all orders in time to deal with and query,the required sales orders,after order and return orders and other information to optimize the processing,and then effectively improve the processing efficiency,and at the same time the information of all orders can be statistics to facilitate the archiving The system also implements the function ofselecting orders according to different conditions and collecting order information according to different attributes.Personalized recommendation module: using data mining algorithms to analyze the information that members have been browsing and buying,and recommending accurately according to the preferences and buying habits of members and recommending commodities that may be of interest to members.After the system is developed and tested,the information management system of the whole commercial city is introduced into a trial operation,and it is officially launched in January 2017.After the actual use,the commercial city information management system has the functions of the expected initial design and the good user experience.The system has reached the expectation of reconstruction of the publishing house requirement.