<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper describes the development process of the mobile point exchange system from demand analysis, outline design, detailed design and implementation. The...

USER	COEFFICIENT	RECIPROCAL
USER A&B	4.63	0.18
USER A&C	0.36	0.73
USER A&D	0.71	0.59
USER A&E	3.89	0.20
USER B&C	4.30	0.19
USER B&D	4.00	0.20
USER B&E	0.78	0.56
USER C&D	0.54	0.65
USER C&E	3.58	0.22
USER D&E	3.24	0.24

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

Published Online: Feb 21, 2022

Page range: 65 - 72

DOI: https://doi.org/10.21307/ijanmc-2021-018

Keywords
Points Exchange, JAVA, Spring MVC, Mybatis

© 2021 Leijie Feng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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THE TABLE FOR THE OUTPUT RESULT

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

Published Online: Feb 21, 2022

Page range: 65 - 72

DOI: https://doi.org/10.21307/ijanmc-2021-018

KeywordsPoints Exchange, JAVA, Spring MVC, Mybatis

© 2021 Leijie Feng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Figure 11.

THE TABLE FOR THE OUTPUT RESULT

Keywords
Points Exchange, JAVA, Spring MVC, Mybatis