Data auditing method, device and equipment

Abstract

The embodiment of the invention provides a data auditing method, device and equipment, and the method comprises the steps: determining at least one target selection function in a plurality of preset selection functions, and enabling the selection function to be used for selecting to-be-labeled sample data; determining at least one target sample data in the plurality of sample data to be labeled according to the target selection function; determining labeled sample data corresponding to the target sample data; and performing optimization training on a preset auditing model by utilizing the labeled sample data, and auditing the to-be-processed data by utilizing the auditing model after optimization training. According to the data auditing method provided by the embodiment of the invention, different target selection functions can be determined in different application scenarios, and the auditing model can be optimally trained by utilizing the labeled sample data determined by the targetselection functions, so that the auditing accuracy of the auditing model in different application scenarios is ensured. And the data auditing quality and efficiency of the auditing model are improved.

Description

technical field [0001] The present invention relates to the technical field of communications, in particular to a data review method, device and equipment. Background technique [0002] With the continuous development of multimedia information, e-commerce platforms are developing more and more rapidly, and e-commerce platforms can realize commodity transactions. In order to increase the transaction rate, sellers on the e-commerce platform will edit and publish pictures and / or text information about the products. According to the relevant regulations of the platform, the e-commerce platform will manually review the title and content of the product published by the seller to determine whether it violates the regulations. [0003] In the prior art, when using the audit model to audit data, in order to ensure the audit accuracy of the audit model, it is necessary to optimize the audit model training; specifically, first obtain the sample data to be marked, and then use the samp...

AI Technical Summary

Problems solved by technology

However, when obtaining the sample data to be labeled, the sample data to be labeled in different application scenarios are often the same, which will affect the audit accuracy of the audit model in different application scenarios

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