Design of Smart Cheerleading Competition Assistant Evaluation System with Big Data and Information Retrieval Sorting Algorithm

X. Zhang
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Abstract

Design of smart cheerleading competition assistant evaluation system with big data and information retrieval sorting algorithm is studied in the paper. The information retrieval and sorting method has well attracted more and more researchers' attention in recent years because of its better retrieval speed and lower storage cost. Its core idea is to transform the feature vector in the high-dimensional space into the Hamming space. low dimensional. For a data sequence a, sorting refers to arranging all data in a sequence from small to large, and then determining the position of any data in a in the sequence. With this theoretical basis, the smart cheerleading competition assistant evaluation system is implemented. For the efficient analysis, the combination pattern is integrated, and the UI is implemented. Through the experiment, the system details are demonstrated.
基于大数据和信息检索排序算法的智能啦啦队比赛辅助评价系统设计
本文研究了基于大数据和信息检索排序算法的智能啦啦队比赛辅助评价系统的设计。近年来,信息检索与排序方法因其更快的检索速度和更低的存储成本而受到越来越多研究者的关注。其核心思想是将高维空间中的特征向量变换到汉明空间中。低维。对于数据序列a,排序是指将所有数据从小到大排列成一个序列,然后确定a中任意数据在该序列中的位置。在此理论基础上,实现了智能啦啦队比赛辅助评价系统。为了高效分析,集成了组合模式,实现了用户界面。通过实验,对系统的细节进行了验证。
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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