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Model training method and device

A model training and model technology, applied in computer security devices, instruments, electrical digital data processing, etc., can solve problems such as prediction models without generalization ability

Active Publication Date: 2020-05-15
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a model training method and device, which solves the problem that there is no predictive model with strong generalization ability and user privacy protection in the prior art

Method used

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  • Model training method and device
  • Model training method and device
  • Model training method and device

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Experimental program
Comparison scheme
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Embodiment approach

[0041] An optional implementation manner before step 101 is as follows:

[0042] (1) The first terminal sends the user identifiers of the multiple clicking users to the second terminal.

[0043] (2) The first terminal receives the multiple click user identifiers and encrypted tag values ​​fed back by the second terminal.

[0044] The encrypted tag value of the clicked user is obtained by the second terminal after matching the converted user with the clicked user, and the encrypted tag value corresponds to the clicked data tag value or converted tag value, that is, the successfully matched clicked user The encrypted tag value corresponds to the conversion tag value, and the encrypted tag value of the unsuccessful click user corresponds to the click data tag value. Wherein, the encryption algorithm may be a homomorphic encryption algorithm.

[0045] The specific value of the user's tag value may include three types: exposure tag value, click data tag value, and conversion tag ...

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Abstract

The invention discloses a model training method and device. The method comprises the steps that a first terminal acquires mixed data encrypted after click data and conversion data are mixed; the firstterminal obtains encrypted feature expression data according to exposure data, the encrypted mixed data and a feature expression model; the first terminal obtains a conversion estimation model according to the encrypted feature expression data, generates encrypted model parameters, and sends the encrypted model parameters to a second terminal; the first terminal receives the model parameters decrypted by the second terminal; and the decrypted model parameters are used for the first terminal to generate a conversion estimation probability according to the conversion estimation model.

Description

technical field [0001] The present invention relates to the field of financial technology (Fintech) and the field of computer software, in particular to a model training method and device. Background technique [0002] With the development of computer technology, more and more technologies (big data, distributed, blockchain (Blockchain), artificial intelligence, etc.) are applied in the financial field, and the traditional financial industry is gradually transforming into financial technology (Fintech). At present, the delivery of recommendation information in the field of financial technology is particularly important, and it is the main channel to expand financial product customers. Information recommendation sources have increasingly strong demand for information push, and there is a significant relationship between different user behaviors in different scenarios and information push appeals, and targeted information push can be carried out to users according to different...

Claims

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Application Information

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IPC IPC(8): G06F21/62G06F21/60
CPCG06F21/6245G06F21/602G06F2221/2107
Inventor 刘博郑文琛杨强
Owner WEBANK (CHINA)