Data identification method and device

Abstract

The embodiment of this specification provides a data identification method and device, wherein the data identification method includes: determining the behavior track data of the target user within a preset time, and determining the behavior track data of the target user according to a preset processing method an initial geographic location; based on the location probability value of the target user in the initial geographic location, filter out a target geographic location from the initial geographic location, wherein the target geographic location is related to a preset demand attribute; The target geographic location and the behavior track data of the target user at the target geographic location are input into a recognition model to obtain the target attribute of the target user.

Description

technical field [0001] The embodiment of this specification relates to the field of computer technology, and in particular to a data identification method. One or more embodiments of this specification also relate to a data identification device, a computing device, and a computer-readable storage medium. Background technique [0002] With the development of computer technology, more and more technologies are applied in the field of resource services. Based on the security and real-time requirements of the resource service industry, higher requirements are put forward for data credit technology. The offline credit method currently used, Not only does it require a lot of manual participation, but the operation process is also risky. With the online credit extension method, due to the limited degree of data and informatization in rural areas, the management information data for farmers in most areas is relatively scattered, and even some farmers' basic The information is not ...

AI Technical Summary

Problems solved by technology

[0002] With the development of computer technology, more and more technologies are applied in the field of resource services. Based on the security and real-time requirements of the resource service industry, higher requirements are put forward for data credit technology. The offline credit method currently used, Not only does it require a lot of manual participation, but the operation process is also risky. With the online credit extension method, due to the limited degree of data and informatization in rural areas, the management information data for farmers in most areas is relatively scattered, and even some farmers' basic The information is not complete, and the data still needs to be submitted manually, but the data submitted manually is often vague and missing, which will not only cause low recognition efficiency of the recognition system, but also make it difficult to ensure the authenticity of the data. In addition, a large amount of materials uploaded manually, It will also take up a lot of computer storage space. Based on this, the resource credit line of farmers can only be issued according to the minimum standard amount. For farmers who operate cash crops, they cannot get good support from operating resources

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