Model training method, device and equipment and user portrait generation method, device and equipment

Abstract

The embodiment of the invention provides a model training method, device and equipment and a user portrait generation method, device and equipment, and can be applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring sample feature data and sample label data; screening complete label data of the first sample user and missing label data of the second sample user from the sample label data; training a label prediction model by using the complete label data and the sample feature data of the first sample user; disturbing the sample feature data to obtain first disturbance feature data of the first sample user and second disturbance feature data of the second sample user; determining a first prediction label of the first disturbance characteristic data and a second prediction label of the second disturbance characteristic data by using a label prediction model; constructing a loss function based on the first prediction label, the second prediction label and the sample label data; and optimizing the label prediction model based on the loss function. According to the method, complementation of the user tags is ensured, and the accuracy of the user portraits is improved.

Description

technical field [0001] The embodiments of this specification relate to the field of artificial intelligence technology, and in particular to a model training method, user portrait generation method, device and equipment. Background technique [0002] With the development of artificial intelligence technology in recent years, more and more functions can be realized based on the corresponding artificial intelligence model, so as to help users process business, so as to improve the effect of work processing and the efficiency of business processing. Among them, the user portrait can be realized according to the information obtained by obtaining the corresponding information of the user. Specifically, the user portrait may contain various user tags, so that these user tags can be used to identify and classify, and in the subsequent business processing stage, operations such as business recommendation and business assistance processing can be implemented based on the user portrai...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of this specification is to provide a model training method, user portrait generation method, device and equipment to solve the problem of how to supplement missing user tags to improve the accuracy of user portraits

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