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Research on Mobile Point Exchange System Based on Collaborative Filtering Recommendation Algorithm Cover

Research on Mobile Point Exchange System Based on Collaborative Filtering Recommendation Algorithm

By: Leijie Feng and  Zehui Mu  
Open Access
|Feb 2022

Abstract

This paper describes the development process of the mobile point exchange system from demand analysis, outline design, detailed design and implementation. The system combines current business needs and uses collaborative filtering recommendation algorithms to solve the problem of how to calculate data similarity. The system is written in JAVA language, and uses a layered architecture model to separate business modules and functional modules. The front-end uses HTML, FreeMarker and Vue technologies to achieve page display and data rendering, and the persistence layer framework uses Mybatis to implement customized SQL, Stored procedures and advanced mapping, through the Spring framework to realize the management of JAVABean, dependency injection and transaction management, and finally realize the point redemption function.

Language: English
Page range: 65 - 72
Published on: Feb 21, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Leijie Feng, Zehui Mu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.