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A kind of user abnormal pattern recognition method, device and equipment

A user, abnormal technology, applied in the field of machine learning, can solve the problems of other users and the loss of the whole society, and achieve the effect of improving the recognition accuracy, improving the training efficiency, and reducing the number of modeling

Active Publication Date: 2022-08-02
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The popularity of Internet applications has brought great convenience to users' life and work. However, there are also some illegal users who seek illegal benefits through improper actions in Internet applications, which will bring losses to other users and the entire society.

Method used

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  • A kind of user abnormal pattern recognition method, device and equipment
  • A kind of user abnormal pattern recognition method, device and equipment
  • A kind of user abnormal pattern recognition method, device and equipment

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Embodiment Construction

[0045] The embodiments of this specification provide a method, apparatus, device, and storage medium for identifying abnormal patterns of users.

[0046] In order to make those skilled in the art better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described The embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments of the present specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

[0047] In one or more embodiments of this specification, multi-step gradient calculation is performed through meta-learning to update parameters. When there are few samples,...

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Abstract

The embodiments of this specification disclose a method, device, and device for identifying abnormal patterns of users. The scheme includes: determining a recognition model including a specified feature transformation structure; obtaining a first sample set, and training the feature transformation structure according to the first sample set to obtain multidimensional parameters included in the feature transformation structure; obtaining a second sample set , the second sample set includes the relevant data of users who were in the user abnormal mode; lock the proportional relationship between the dimension values ​​in the multi-dimensional parameters, and determine the overall scaling coefficient and bias coefficient for the multi-dimensional parameters; according to the second Sample set, perform meta-learning on the recognition model to adjust the scaling coefficient and bias coefficient; through the recognition model after meta-learning, determine whether the user to be identified is in the user abnormal mode.

Description

technical field [0001] The present specification relates to the technical field of machine learning, and in particular, to a method, device, and device for identifying abnormal patterns of users. Background technique [0002] The popularization of Internet applications brings great convenience to users' life and work. However, there are also some illegal users who seek illegal benefits through improper actions in Internet applications, which will bring losses to other users and the entire society. . [0003] Based on this, Internet companies will adopt corresponding solutions to prevent risks and identify whether the user is in an abnormal mode. Whether online fraud, legalization of illegal income, gambling, etc., the commonly used solution is to identify after deep neural network model training, which requires a relatively sufficient amount of training. For some abnormal patterns, such as legalization of illegal income, etc. , in practical applications, the model is compl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00G06N3/08G06N3/04G06K9/62G06Q40/04
CPCG06N20/00G06N3/08G06Q40/04G06N3/045G06F18/22G06F18/214
Inventor 孙富冯琛唐韵
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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