With the rapid development of the mobile Internet, people's demand for information is increasing, and the traditional fitness model is unable to meet the development needs of society. In this study, mobile Internet technology is used to build a new type of green intelligent fitness system. The system can collect users’ fitness data and upload the data to the cloud server. And users can obtain their exercise data and their ranks at any time through mobile APP to realize data sharing. At the same time, WebSocket technology is used to realize real-time updates of data, and a collaborative filtering recommendation algorithm is used to analyze users’ rating data and recommend intelligent fitness equipment for users. It is found that the system constructed in this study uses the computing power of multiple nodes in the cluster to analyze the fitness data on the cluster rapidly. Based on the collaborative filtering algorithm, the analysis of users is realized, and the recommendation accuracy is up to 89%. This study first puts forward the combination of mobile Internet and traditional fitness industry, which provides a reliable way to promote the development of national fitness.
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This work was supported by Philosophy and social science planning project of Guangdong Province, Approval No.: GD17XTY13.
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Liang, X., Kuang, X., Xu, Y. et al. The construction of national fitness online platform system under mobile internet technology. Int J Syst Assur Eng Manag (2021). https://doi.org/10.1007/s13198-021-01198-5
- Mobile Internet
- National fitness
- Collaborative filtering algorithm
- Green fitness
- User’s rating