Internet of Things and Big Data based Analytics on Consumer Psychology and Behavior

被引:0
|
作者
Wei L. [1 ]
Wei J. [2 ]
机构
[1] Shangqiu Polytechnic, Henan, Shangqiu
[2] Legal Affairs Department, ZTE Corporation, Guangdong, Shenzhen
来源
Computer-Aided Design and Applications | 2023年 / 20卷 / S11期
关键词
Analytics; Deep learning; Function learning; IoT and Big Data; Network structure;
D O I
10.14733/cadaps.2023.S11.118-128
中图分类号
学科分类号
摘要
Over time, the Internet has spawned Internet of Things and big data analysis tools that can solve human problems more quickly, followed by relevant research on the mass consumer population. Before starting the study, a large amount of sample data is needed for data support to ensure the accuracy and authenticity of the study. However, studying human psychological behavior is not an easy event to analyze, and how to correctly analyze consumer psychology and behavior is a major challenge in construction. Based on the above situation, this article systematically constructs consumer psychology and behavior under the background. Analytics, and further explores human psychological and behavioral activities. First, it discusses the development in various countries, as well as the current social situation of IoT and Big Data. Analytics. Analyze and organize relevant data on consumer psychology and behavior through the system constructed under IoT and Big Data. Analytics. The optimization of the overall analysis system was also studied by adding the growth curve function Sigmaid and the activation function Tanh. The research results show that after optimizing the consumer psychology and behavior analysis system based on IoT and Big Data. Analytics and big data analysis, the specific application results show that it has good use effects. © 2023 CAD Solutions, LLC.
引用
收藏
页码:118 / 128
页数:10
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