Analysis of Smartphone User Monitoring Data Based on Logistic Regression
In recent years,with the rapid development of digitization and informatization,more and more people have started to use smartphones.This article is based on the monitoring data of over 40000 smartphone users in a certain company for 21 consecutive days in a certain year.By using a logistic regression model to mine and analyze the monitoring data of smartphone users,the usage of Class A apps by users is effectively calculated and summarized.The accuracy of the model reaches 98.06%,and corresponding suggestions are proposed for the development and use of smartphone apps.The data-driven analysis and decision-making in this study contribute to a precise understanding of user behavior and needs,providing important decision-making basis for intelligent recommendations and personalized marketing in recommendation systems,and effectively promoting the sustained and healthy development of China's smartphone market.
国家科技期刊平台
NSTL
万方数据
维普
