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

Kaiyan Han, Qin Wang
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引用次数: 5

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.
基于深度学习技术的体育场馆O2O平台及推广算法研究
在大数据时代,智能体育场馆为用户提供个性化服务,搭建场馆管理平台具有现实意义。本文基于大数据分析的最新成果,提出了一种新的并行大数据推进算法。该算法利用观测变量Y、隐变量数据Z、联合分布P (Y, Z | θ)和分布条件P (Z | Y | θ)计算最优值。实验结果表明,该算法具有较高的大数据分析精度,能够更好地为智能体育场馆服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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