Research on O2O Platform and Promotion Algorithm of Sports Venues Based on Deep Learning Technique

Author:

Han Kaiyan1,Wang Qin1

Affiliation:

1. School of Physical Education, Jiujiang University, Jiujiang, China

Abstract

In the era of big data, intelligent sports venues have a practical significance to provide personalized service for users and build up a platform for stadium management. This article proposes a new parallel big data promotion algorithm based on the latest achievements of big data analysis. The proposed algorithm calculates the optimal value by using the observed variables Y, the hidden variable data Z, the joint distribution P (Y, Z | θ) and distribution conditions P (Z | Y | θ). The experimental results show that the proposed algorithm has higher accuracy of big data analysis, and can serve the intelligent sports venues better.

Publisher

IGI Global

Subject

General Computer Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial distribution characteristics and causes of public sports venues in China;Scientific Reports;2023-09-12

2. Design of Analysis Platform for College Students' Physical Learning Effect Based on Data Mining Algorithm;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24

3. Feedback Delay of Sports Intelligent Learning System Based on Model Predictive Control;Computational Intelligence and Neuroscience;2022-05-31

4. Intelligent Analysis System of University Stadium Governance Based on Big Data Era;Lecture Notes in Electrical Engineering;2022

5. Incomplete Big Data Filling Algorithm Based on Deep Learning;Lecture Notes in Electrical Engineering;2022

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