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Research And Application Of Recommendation Algorithm In Campus Second-hand Trading Platform

Posted on:2022-09-19Degree:MasterType:Thesis
Country:ChinaCandidate:Z ZhaoFull Text:PDF
GTID:2518306548967219Subject:Master of Engineering
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With the development of the Internet and computer technology,online shopping platforms is developing and growing.Online shopping has gradually become an important way of transactions in people's daily lives.The campus second-hand transaction method also needs to be converted from the “face-to-face” offline method to the “screen-to-screen” online method.It is of practical significance to build a campus second-hand trading platform based on the needs of epidemic prevention and control in recent years.The research goal of the dissertation is to establish a convenient and easy-to-operate personalized second-hand trading service platform for college students,based on campus network,and Spring Boot framework technology as the development core,database technology and Web-related technology as the support.Firstly,analyze the demand for campus second-hand transactions through surveys.Secondly,the platform development adopts the B/S architecture model.Through analysis,the functional modules of the platform are obtained.The functional modules of the campus second-hand trading platform are designed using technologies such as Spring Boot+Mybatis.And the E-R model diagram is drawn to sort out the relationship between entities to determine the design of the table structure in the MySQL database.Thirdly,use Eclipse and other development tools to implement each functional module.Its item recommendation function module adopts the collaborative filtering algorithm based on items to recommend for users,which improves the personalization of the platform.Finally,a system test was conducted on the campus secondhand trading platform.The test results showed that various functions and response times were normal,and the expected goals were basically achieved.This dissertation designs and implements a campus second-hand trading platform based on the Spring Boot framework.The collaborative filtering algorithm is used to realize the item recommendation function of the platform.This platform has a simple interface,convenient operation and rich functions,which can meet the basic needs of the campus second-hand market.
Keywords/Search Tags:campus second-hand trading platform, Spring Boot framework, MySQL, Collaborative filtering
PDF Full Text Request
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