Construction of Network Behavior Analysis System of Mobile User Based on Big Data Technology

Abstract

The traditional user behavior analysis method lacks the support of big data technology and the user demands are not subdivided, which causes the mismatch of marketing and user demands. In view of the different behavior standards of mobile users, the personalized services have been accurately customized. At the same time, the network behavior analysis method of mobile users based on Hadoop, Hive, Zookeeper and other big data technologies has been proposed. Based on this method, the behavior analysis system of mobile users including the download program module of call bill log, the processing program module of call bill log, the classification program module of call bill log, the scheduler program module of task statistics and the storage program module of result statistics has been constructed. The results show that the system based on big data technology is of great significance to accurately position the user access demands, help the mobile operators to conduct the thematic analysis of big data and enhance the competitiveness of enterprises compared with the traditional methods.