Method, device, storage medium and terminal for constructing and evaluating recognition model

A technology of recognition model and random forest algorithm, applied in the field of recognition model construction and evaluation, can solve problems such as poor recruitment effect of salespersons, and achieve the goal of solving poor recruitment effect, optimizing parseability, improving analysis accuracy and recognition efficiency. Effect

Active Publication Date: 2022-07-19
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method, device, storage medium, and terminal for identifying model construction and evaluation, so as to recommend salesmen through the identification model and solve the problem of poor recruitment of salesmen

Method used

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  • Method, device, storage medium and terminal for constructing and evaluating recognition model
  • Method, device, storage medium and terminal for constructing and evaluating recognition model
  • Method, device, storage medium and terminal for constructing and evaluating recognition model

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Embodiment 2

[0101] Figure 5 A compositional structure diagram of the apparatus for constructing and evaluating the identification model provided by the embodiment of the present invention is shown. For convenience of description, only the part related to the embodiment of the present invention is shown.

[0102] In the embodiment of the present invention, the apparatus for constructing and evaluating the recognition model is used to realize the above-mentioned figure 1 , figure 2 , image 3 , Figure 4 The method for constructing and evaluating the identification model described in the embodiment may be a software unit, a hardware unit or a unit combining software and hardware built in the terminal.

[0103] see Figure 5 , the device for constructing and evaluating the recognition model includes:

[0104] The preprocessing module 51 is configured to obtain sample data and preprocess the sample data, wherein the sample data includes samples of customers who are converted into sales...

Embodiment 3

[0130] This embodiment provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program. When the computer program is executed by the processor, the method for constructing and evaluating the identification model in Embodiment 1 is implemented. Repeat. Alternatively, when the computer program is executed by the processor, the functions of each module / unit in the apparatus for constructing and evaluating the identification model in Embodiment 2 are implemented, and to avoid repetition, details are not repeated here.

Embodiment 4

[0132] Image 6 It is a schematic diagram of a terminal provided by an embodiment of the present invention, and the terminal includes but is not limited to a server and a mobile terminal. like Image 6 As shown, the terminal 6 of this embodiment includes: a processor 60 , a memory 61 , and a computer program 62 stored in the memory 61 and executable on the processor 60 . When the processor 60 executes the computer program 62, the steps in the above method embodiments for constructing and evaluating a recognition model are implemented, for example, figure 1 Steps S101 to S104 shown, figure 2 Steps S1041 to S1043 described in the embodiment, image 3 Steps S301 to S307 described in the embodiment and Figure 4 Steps S401 to S407 described in the embodiment, or, when the processor 60 executes the computer program 62, implements the functions of each module / unit in the above-mentioned apparatus embodiment for constructing and evaluating the identification model, for example, ...

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Abstract

The present invention provides a method for constructing and evaluating an identification model, including: acquiring sample data, including customer samples converted to salespersons in a first manner, and preprocessing the sample data; using the preprocessed samples The data is used as a training set, and the salesperson transformation identification model is trained based on the random forest algorithm; the preset first verification data is input into the salesperson transformation identification model, and the output result is obtained, and the first verification data includes the first method and customer samples that have been converted to salespersons and customer samples that have not been converted to salespersons in the second mode, the output result includes the conversion probability corresponding to each customer sample in the first verification data; based on the conversion probability Distribution analysis is performed on the customer samples in the first verification data to evaluate the salesperson conversion identification model. The invention realizes that the salesperson is recommended by constructing a recognition model, which is beneficial to solve the problem of poor recruiting effect of the salesperson.

Description

technical field [0001] The present invention belongs to the field of communication technologies, and in particular, relates to a method, a device, a storage medium and a terminal for constructing and evaluating an identification model. Background technique [0002] A salesperson refers to a person who is responsible for a specific business operation in an organization, such as production, planning, sales, accounting, statistics, price, advertising and other specific business staff. In all walks of life, the increase of salespersons faces the dual pressure of quality and quantity. Especially in the insurance industry, recruitment work requires a lot of upfront investment and willingness training, which is time-consuming and labor-intensive; and not all the objects trained have sales potential or sales willingness, lack of pertinence and low output during training, and ultimately lead to poor recruitment results. . Therefore, how to improve the recruitment effect of salesper...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/067G06Q10/1053
Inventor 蔡昀
Owner CHINA PING AN LIFE INSURANCE CO LTD
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