The Research On Mobile Internet User Behavior

With the rapid development and popularization of the mobile Internet and embedded terminal technology, mobile Internet has become an important way for people to access the network, user behavior analysis is the importance of telecom operators to seize market share and business growth entry point. Mobile Internet user behavior analysis related to mobile Internet users broadly behavioral activities, including network heart activity, network social activity and network access activities; mainly related to the behavior of the users to access the network from the narrow sense law. By getting the behaviors of users form mobile Internet, telecom operators can effectively allocate network resources and to provide a targeted network services. Therefore, the establishment of a comprehensive mobile Internet user behavior analysis method and provide a valid user behavior analysis program has become an urgent problem of the telecom operators in the mobile Internet business development.This thesis is mainly for mobile Internet user behavior analysis and actionable analytics study, based on analysis of the key technologies of the mobile Internet user behavior analysis, combining data mining techniques, text classification techniques and sample reduction and balancing techniques proposed samples reduction and density equalization algorithm based on KNN, and the scheme of the mobile Internet user behavior analysis and experimental programs. This work is mainly reflected in:(1) According to the analysis of the demand for mobile Internet users’interested habits, a samples reduction and density equalization algorithm based on KNN was designed. To meet user behavior analysis based on the algorithm and achieve a balanced reduction for density of the sample space, the algorithm has improved both efficiency and accuracy in the process of analysis of user interest in mobile Internet habits.(2) According to analysis method for mobile Internet user behavior, the thesis designed a set of mobile Internet user behavior analysis methods and steps, provided the methodological basis for the mobile Internet user behavior analysis. The combination of mobile internet user behavior analysis methods, steps and proposed user behavior analysis scheme based on samples reduction and density equalization algorithm, and given a specific experiment. From the mobile Internet users access the network, the three dimensions of the access network traffic, time and user interest habits to achieve the analysis of user behaviors, the experimental results show that the proposed method, algorithms and solutions in the mobile internet user behavior analysis process is effective and feasible.