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Causal inference-based business factor generation method and device based on causal inference, equipment and medium

A factor and causal technology, applied in the field of business factor generation based on causal inference, in the field of computer-readable storage media, can solve problems such as low accuracy of business factor search, improve efficiency and accuracy, and solve problems with low search accuracy. Effect

Pending Publication Date: 2021-11-30
PING AN BANK CO LTD
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Problems solved by technology

[0004] The present invention provides a business factor generation method, device, equipment and storage medium based on causal inference, the main purpose of which is to solve the problem of low search accuracy of related business factors

Method used

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  • Causal inference-based business factor generation method and device based on causal inference, equipment and medium
  • Causal inference-based business factor generation method and device based on causal inference, equipment and medium
  • Causal inference-based business factor generation method and device based on causal inference, equipment and medium

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specific Embodiment approach

[0110] In detail, the specific implementation of each module of the business factor generation device 100 based on causal inference is as follows:

[0111] step one,

[0112] The user selection instruction is received, and the target node selected in the user selection instruction is taken as the target event from the pre-built standard behavior causal network.

[0113] In the embodiment of the present invention, the standard behavioral causal network may be a Bayesian network, which is composed of nodes representing variables and directed edges connecting these nodes, wherein nodes represent random variables (such as user behavior factors), and the Directed edges represent the relationship between nodes (from the parent node to its child nodes), and the conditional probability is used to express the relationship strength between nodes.

[0114] Specifically, before receiving the user selection instruction, the method also includes:

[0115] Obtaining a set of user behavior ...

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Abstract

The invention relates to an artificial intelligence technology, and discloses a causal inference-based business factor generation method, which comprises the following steps: receiving a user selection instruction, and taking a target node selected from the user selection instruction as a target event from a pre-constructed standard behavior causal network; and calculating the causal effect of the behavior factor of each node in the standard behavior causal network and the target event, and selecting a preset number of behavior factors as the business factors of the target event according to the size of the causal effect. In addition, the invention also relates to a block chain technology, and the business factors can be stored in nodes of a block chain. The invention further provides a business factor generation method and device based on causal inference, electronic equipment and a computer readable storage medium. According to the invention, the problem of low search accuracy of related business factors can be solved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device, electronic equipment and computer-readable storage medium for generating business factors based on causal inference. Background technique [0002] In traditional machine learning algorithms, the focus is on the correlation between features, but the cause and effect between features cannot be identified. Therefore, when making product decisions and judgments, the applicability is poor. With the further development of artificial intelligence, various fields have begun to use causal inference methods to analyze user behavior information, thereby improving the accuracy of product or service push. [0003] In the existing technology, the causal inference method is through correlation analysis and A / B test experiments, but correlation analysis cannot be used for decision-making, and A / B test experiments require a large number of blind tests for...

Claims

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Application Information

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IPC IPC(8): G06N5/04
CPCG06N5/041
Inventor 张严严王雨洲潘琪
Owner PING AN BANK CO LTD
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