The Design And Implementation Of Services Online Active Users’ Identification System Based On The Mass Of The Signaling Data

Currently, under the background of rapid development of the Internet and big data era, the operators are eager to tap the potential value by analyzing their grasp massive reserves signaling data to solve the growing problem of "plumbing" of the crisis. At the same time, the companies of traditional services want to locate their active users for precision marketing.The services online active users’identification system introduced in this paper by combining a large data processing technology, based on the analysis of signaling data communication behavior of uses, developing analytical strategy to identify hotels, restaurants, travel three categories of service active users. It is concluded that active users of features such as geographical, be fond of, etc, on the one hand to provide data services to businesses precision marketing, on the other hand also dig out the potential value of the signaling data, achieve carriers and service enterprises benefit and win-win.In this paper, based on software engineering theory complete the design and implementation of the system from demand, design and testing. The paper presents the solution of the key issues such as the analysis of the massive data, data skew and workflow scheduling. In this paper, design and implementation of identification system analysis of signaling data from user communication behavior, successful corporate positioning precision marketing services to the target population, the analysis of the results also proved that the commercial value of the system.