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Cross-border active user identification method and device

An active user and identification method technology, applied in the field of cross-border active user identification methods and devices, can solve the problems of low efficiency and high cost, and achieve the effects of reducing costs, low overhead, and improving work efficiency

Pending Publication Date: 2020-11-20
BANK OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a cross-border active user identification method to solve the technical problems of high cost and low efficiency in the cross-border APP wide-spreading promotion method in the prior art and the one-class problem in cross-border APP active customer mining. Methods include:

Method used

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  • Cross-border active user identification method and device

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0033] Explanation of technical terms

[0034] lightGBM: A gradient boosting framework using tree-based learning algorithms. It is a performance-boosted version of XGB that has similar accuracy to other GBMs and is 20 times faster to train.

[0035] Regression: refers to a statistical analysis method that studies the relationship between a set of random variables (Y1, Y2, ..., Yi) and another set of variables (X1, X2, ..., Xk), also known as multiple regression analysis. Usually Y1, Y2, ..., Yi is the dependent variable, X1, X2, ..., Xk is the independent variable. ...

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Abstract

The invention discloses a cross-border active user identification method and device. The method comprises the steps of obtaining behavior data of historical users on a cross-border APP; based on the behavior and score mapping relationship, determining scores corresponding to the behavior data, and based on the scores, determining cross-border activeness of historical users; randomly selecting a seed user from all historical users; obtaining multi-dimensional feature data of the seed user, taking the multi-dimensional feature data as a training data set, and taking the cross-border activity ofthe seed user as a label of the training data set; cleaning and vectorizing the training data set to obtain a processed training data set; performing regression modeling based on the lightGBM and theprocessed training data set to obtain an activity regression prediction model; and obtaining multi-dimensional feature data of other channel users, and predicting the activity of using the cross-border APP by the other channel users based on the activity regression prediction model. The active customer mining work efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of customer identification, in particular to a cross-border active user identification method and device. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] For cross-border scenarios, if the potential customer groups of the cross-border APP can be tapped from hundreds of millions of customers at the beginning of the cross-border APP launch, then more benefits and market competitive advantages can be obtained. However, the current cross-border APP is mainly promoted by business personnel to "spread the net" to customers, which makes the promotion cost high, inefficient, untargeted, and resource utilization rate is low. Users are not promoted, but a lot of manpower and material resources are invested in ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q30/02G06F16/28G06F16/215G06N20/00
CPCG06Q30/0201G06F16/283G06F16/215G06N20/00G06F18/24G06F18/214
Inventor 狄潇然
Owner BANK OF CHINA
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