摘要
为解决传统社交网络位置近邻查询方法查询速率低的问题,本文提出基于场景局部特征的社交网络位置近邻查询方法,首先基于场景局部特征预处理社交网络位置近邻数据,进而建立社交网络位置近邻查询函数,生成社交网络位置近邻查询数据结果并展示,完成社交网络位置近邻查询.设计实例分析结果表明,实验组的查询速率明显高于对照组,能够解决传统社交网络位置近邻查询方法查询速率低的问题.
In order to solve the problem of low query speed of traditional social network location nearest neighbor query methods,this paper proposes a social network location nearest neighbor query method based on scene local features.Firstly,the social network location nearest neighbor data is preprocessed based on scene local features,and then the social network location nearest neighbor query function is established to generate and display the social network location nearest neighbor query data results Location nearest neighbor query of intersection network.The results of design example analysis show that the query speed of the experimental group is significantly higher than that of the control group,which can solve the problem of low query speed of the traditional social network location nearest neighbor query method.
作者
李立
LI Li(Zhengzhou Business University,Zhengzhou Henan 451200,China)
出处
《信息与电脑》
2021年第3期66-67,共2页
Information & Computer
关键词
场景局部特征
社交网络
位置
近邻查询
local features of scene
social networks
location
nearest neighbor query