Method and device for mobile communication user information statistics

Abstract

The invention discloses a method and a device for mobile communication user information statistics. The method comprises the steps: a mobile communication user information statistical request is generated according to statistical requirements, and statistical area information, statistical time information and mobile terminal dynamic information carried in the mobile communication user information statistical request are parsed; a statistical base station is confirmed according to the statistical area information; and mobile communication user information corresponding to the statistical base station is obtained from the collected and stored mobile communication user information, and the obtained mobile communication user information is matched according to the time information and the mobile terminal dynamic information to get a statistical result. The method and the device for the mobile communication user information statistics have less information amount needing to be processed by the statistics of the mobile communication user information corresponding to the statistical base station, realize the mobile communication user information statistics of a designated area and meet the requirements of further accurate statistics for the mobile communication user information.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a method and device for counting mobile communication user information. Background technique [0002] In the process of operation, most enterprises need to accurately find the target users of the enterprise, so as to improve the efficiency of sales or service and maximize the profit of the enterprise. Finding target users often requires the use of statistical methods for user information. [0003] The traditional statistical methods for mobile communication user information are only based on some basic personal attribute information of network registered users, such as: name, age, gender, occupation and education, etc., and further segmentation based on these information, such as subdividing according to age It is divided into teenagers, middle-aged, elderly, etc. During the statistical process, it is matched according to these static information to obtain statistical results...

AI Technical Summary

Problems solved by technology

[0003] The traditional statistical methods for mobile communication user information are only based on some basic personal attribute information of network registered users, such as: name, age, gender, occupation and education, etc., and further segmentation based on these information, such as subdividing according to age It is divided into teenagers, middle-aged, elderly, etc. During the statistical process, it is matched according to these static information to obtain statistical results; since this kind of information is relatively static and one-sided, this kind of user information statistics based on user basic attribute information The method cannot dynamically and comprehensively reflect the various activity states of mobile communication users, resulting in relatively single or inaccurate statistical results.

And the amount of statistical data is very large, it is difficult to directly obtain demand information in the statistical results, causing great trouble to the statisticians

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