Product evaluation model generation method and device

A product and model technology, applied in the field of product evaluation model generation, can solve problems such as reducing the efficiency of product evaluation model creation, model accuracy, variable omission configuration, etc., to improve generation efficiency, avoid variable omission configuration, and improve accuracy. Effect

Pending Publication Date: 2019-09-20
ONE CONNECT SMART TECH CO LTD SHENZHEN
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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a method and device for generating a product evaluation model to solve the problem that the existing technology for generating product evaluation models requires manual configuration of the o

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  • Product evaluation model generation method and device
  • Product evaluation model generation method and device
  • Product evaluation model generation method and device

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] In the embodiment of the present invention, by first configuring the associated derived variables for each original variable, and establishing the corresponding relationship between each original variable and the derived variable; then analyzing the product information of the target product to determine the original variables contained in the target product, based on the above The established corresponding relationship automatically pulls the derived variables associated with each original variable, imports the obtained original variables and derived variables into the product evaluation temp...

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Abstract

The invention is applicable to the technical field of model management, and provides a product evaluation model generation method and device, and the method comprises the steps: configuring a plurality of derivative variables for each native variable in a variable library based on preset derivative variable conversion functions corresponding to different native variables, and building a corresponding relation between the native variables and the derivative variables; obtaining product information of the target product, carrying out semantic analysis on the product information, and identifying product keywords contained in the product information; selecting a native variable matched with the product keyword from the variable library, and identifying the selected native variable as a target variable; based on the corresponding relation, obtaining derived variables associated with the target variables; downloading a product evaluation template of the product type according to the product type of the target product, and importing the target variable and the derivative variable associated with the target variable into the product evaluation template to generate a product evaluation model of the target product. According to the invention, the variables associated with the target product can be directly extracted from the variable library, and the generation efficiency of the evaluation model is improved.

Description

technical field [0001] The invention belongs to the technical field of model management, and in particular relates to a method and equipment for generating a product evaluation model. Background technique [0002] Before a user performs risky operations, the enterprise needs to conduct a risk assessment on the user to determine the user's user assessment level. However, the assessment models of different products are different. As the number of products continues to increase, the configuration frequency of the product assessment model is also increasing. How to efficiently build a product evaluation model will directly affect the product update speed. Existing product evaluation models include not only original variables directly extracted from user information, but also derived variables obtained through established conversion algorithms based on original variables. Users need to manually configure the original variables and derived variables included in each risk model. T...

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/0635
Inventor 胡甜敏
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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