Potential customer identification method and system based on longitudinal federated learning, and medium

A recognition method and customer identification technology, applied in the computer field, can solve the problem of poor prediction effect of a single model to identify potential customers, and achieve the effect of overcoming the single type and imbalance and improving the accuracy.

Active Publication Date: 2021-08-10
BANK OF GUANGZHOU CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention provides a potential customer identification method, system and medium based on vertical federated learning to solve the problem of poor prediction effect of using a single model t

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  • Potential customer identification method and system based on longitudinal federated learning, and medium
  • Potential customer identification method and system based on longitudinal federated learning, and medium
  • Potential customer identification method and system based on longitudinal federated learning, and medium

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0064] In the description of the present application, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of the present application, unless otherwise specified, "plurality"...

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Abstract

The invention discloses a potential customer identification method and system based on longitudinal federated learning and a medium, and the method comprises the steps that a first loss value of an updated first preset logistic regression model is obtained through the calculation of a local end, and a second loss value of an updated second preset logistic regression model is obtained through the calculation of a participating end; finally, the local end and the participating end judge whether all preset stopping conditions are met at the same time or not according to the corresponding first loss value and the second loss value, and if yes, the local end and the participating end recognize the customer according to a preset potential customer recognition method so as to complete recognition of potential customers; and if not, the appointed steps are repeatedly executed, and judgment is carried out again. According to the potential customer identification method and system based on longitudinal federated learning and the medium provided by the embodiment of the invention, the accuracy of identifying potential customers is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, system and medium for identifying potential customers based on longitudinal federated learning. Background technique [0002] At present, with the increasingly high level of technology and digitalization of life, the public has generated a large amount of private data in various aspects such as food, clothing, housing, transportation, and use. These all-round data provide artificial intelligence, blockchain, cloud computing, Innovative applications of emerging technologies such as big data provide fertile ground. At the same time, how to use emerging technologies to safely and efficiently mine user data and create commercial value has increasingly become the focus of financial institutions such as banks. Because customers will generate a large amount of financial transaction data when they handle financial services such as account opening, transfer, deposit a...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/04G06N20/00G06K9/62
CPCG06Q30/0201G06Q30/0202G06Q40/04G06N20/00G06F18/24
Inventor 赵志东阚建国钟海于晗宇邓景熹郑立志
Owner BANK OF GUANGZHOU CO LTD
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