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Design And Implementation Of Personalized Recommendation Car Rental System

Posted on:2020-08-15Degree:MasterType:Thesis
Country:ChinaCandidate:Z SunFull Text:PDF
GTID:2428330578954971Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The personalized recommendation car rental system is the product of rapid development and integration of the car rental industry and the Internet industry.This paper designs and implements a personalized recommendation car rental system,which is the integration of offline car rental systems and online car recommendations.It not only provides employees with functions such as business management and related business management,but also provides customers with the functions recommended by the car.The system designed in this paper adopts SSM(Spring+SpringMVC+Mybatis)framework technology and MVC development mode to improve the flexibility and scalability of the system,the Mapreduce technology is used to implement the functions of the car recommendation module.The author independently designed and implemented the following four modules:(1)Basic information management module:It is mainly responsible for the management of system basic information,as well as the transfer of company department structure and personnel.Manage.(2)Car purchase business management:mainly responsible for customer car purchase business.(3)Car loan business management:responsible for managing customer car loan related matters.(4)Car recommendation module:It mainly pushes relevant car information to customers who browse online car products,so that customers can find suitable car products for themselves.The system business function verification results show that the personalized recommendation car rental system meets the internal business needs of the company.At present,the system is online,but it is still in the function expansion stage,and it is still undergoing continuous updating and iteration,but the current feedback has brought rich economic benefits to the company.
Keywords/Search Tags:Car Rental, SSM Framework, Filtering Algorith
PDF Full Text Request
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