Method for identifying user type based on signaling data and related device
A signaling data and user type technology, applied in the field of big data, can solve the problems of difficulty in comprehensively grasping the overall scale of migrants, employment status, migration flow, high manual participation, and low survey frequency, so as to improve identification efficiency and improve efficiency. The effect of accuracy, low survey frequency, and small sample size
Active Publication Date: 2021-10-08
智慧足迹数据科技有限公司
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This survey method has high manual participation, small sample size, low survey frequency, and certain risks. It is difficult to fully grasp the real-time data on the overall size of migrants, employment status, migration and flow, etc.
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[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0019] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...
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The invention provides a method for identifying a user type based on signaling data and a related device. The method comprises the steps: extracting user features corresponding to a to-be-identified user from the signaling data and geographic information data of the to-be-identified user in a preset time period; inputting the user features into a pre-trained recognition model, and outputting whether the to-be-recognized user is a target user type or not, wherein the identification model is trained according to the specific user characteristics of the target user type. According to the embodiment of the invention, the user characteristics of the user to be identified can be determined in combination with the signaling data and the geographic information data, and then the user characteristics are identified by using the pre-trained identification model, so that the user type of the user to be identified can be determined, and the identification efficiency and accuracy of the user type are greatly improved.
Description
technical field [0001] The present invention relates to the field of big data technology, in particular, to a method and a related device for identifying a user type based on signaling data. Background technique [0002] With the increasing pace of urban construction, the flow of people between urban and rural areas is becoming more and more frequent. Studying the types of floating people has important implications for transportation management, labor security, housing and public service allocation, economic consumption vitality, social security governance, and urbanization patterns. , resource consumption and environmental protection are extremely important. [0003] At present, the traditional user type identification method is to use the sampling survey method for statistical monitoring. This survey method has a high degree of manual participation, a small sample size, low survey frequency, and certain risks. It is difficult to fully grasp the real-time data on the overa...
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Login to View More IPC IPC(8): G06K9/62G06F16/29
CPCG06F16/29G06F18/23G06F18/214G06F18/24
Inventor 屈永慧桂朝闫嘉谌伟璋张岩李凯希李振军
Owner 智慧足迹数据科技有限公司