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Method and device for training key behavior extraction network and key attribute extraction network

A technology of key attributes and training methods, applied in the training field of key behavior extraction network, can solve the problems of limited efficiency and accuracy, high cost, and achieve the effect of enhancing interpretability

Active Publication Date: 2022-06-21
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the current interpretation of business analysis results mostly relies on manual analysis of user behavior sequences, resulting in high costs and limited efficiency and accuracy

Method used

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  • Method and device for training key behavior extraction network and key attribute extraction network
  • Method and device for training key behavior extraction network and key attribute extraction network
  • Method and device for training key behavior extraction network and key attribute extraction network

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Embodiment Construction

[0028] The solution provided in this specification will be described below with reference to the accompanying drawings.

[0029] As mentioned earlier, there is a need to enhance the interpretability of business results. figure 1 A schematic diagram of the implementation architecture of the training scheme of the key behavior extraction network disclosed in the embodiments of this specification is shown. like figure 1 As shown, in the implementation process of the solution, the original behavior sequence and the corresponding business tag are obtained first, wherein the original behavior sequence includes T operation behaviors (or operation events) arranged in time order, namely E 1 to E T ; Then, input the original behavior sequence into the key behavior extraction network to obtain several key behaviors ( figure 1 Indicated as E 2 , E 4 and E 7) to form a key behavior sequence (or key sub-sequence); then input this key behavior sequence into a pre-trained business predi...

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Abstract

The embodiment of the invention provides a key behavior extraction network training method and device and a key attribute extraction network training method and device. The training method of the key behavior extraction network comprises the following steps: firstly, inputting an original behavior sequence into the key behavior extraction network to obtain a plurality of key behaviors, and forming a key behavior sequence; the original behavior sequence comprises T operation behaviors which are made by a target user and are arranged according to a time sequence; inputting the key behavior sequence into a pre-trained service prediction model to obtain a service prediction result; and then, based on the service prediction result and the service label of the original behavior sequence, training the key behavior extraction network. Therefore, the key behaviors can be automatically and accurately extracted, and the interpretability of the business prediction result of the complete behavior sequence is effectively enhanced.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of machine learning, and in particular, to a method and apparatus for training a key behavior extraction network, and a method and apparatus for training a key attribute extraction network. Background technique [0002] In many business scenarios, it is necessary to analyze and process user operation behaviors, for example, to assess the degree of risk related to users for risk prevention and control. Usually, the analysis can be performed based on the characteristics of an operation behavior itself made by the user, and further, the user's behavior sequence can be considered more comprehensively. Behavior sequence is the occurrence process of a series of clicks, visits, purchases and other behaviors generated by users in daily operations. It can be expressed as a time series of behavior sets. It contains the characteristics of users' fine-grained habits and preferences, which ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06F11/34
CPCG06N3/084G06F11/3438G06N3/047G06N3/045G06F18/214G06F18/2415
Inventor 宋博文李佳霓张天翼马樱珍曹林春朱明超
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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