Analysis and Prediction of Mobile Internet Users’ Behavior Preferences

Abstract

The number of mobile Internet users is mounting, and the behavior preferences of its users also show some new characteristics and a tendency of diversification. In this paper, we combining theoretical research and empirical research, the key factors of mobile Internet users’ behavior preferences would be explored from multiple perspectives, in order to understand the underlying reasons of differences in behavior preferences between different users. Based on those factors and SVM algorithm’ adoption, the mobile Internet users’ behavior preferences would be classified. Finally, some effective suggestions would be put forward in network continued development and personalized service.