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
维普
万方数据
