Insurance agent selection method, device and equipment based on artificial intelligence

An artificial intelligence and agent technology, applied in the field of machine learning, which can solve the problem of low accuracy in selecting insurance agents

Pending Publication Date: 2020-02-11
CHINA PING AN LIFE INSURANCE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides an artificial intelligence-based insurance agent selection method, device, computer equipment, and computer-rea...

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  • Insurance agent selection method, device and equipment based on artificial intelligence
  • Insurance agent selection method, device and equipment based on artificial intelligence
  • Insurance agent selection method, device and equipment based on artificial intelligence

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Embodiment Construction

[0018] Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0019] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0020] It should also be understood that the terminology used in the specification of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates othe...

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Abstract

The embodiment of the invention provides an insurance agent selection method and device based on artificial intelligence, computer equipment and a computer readable storage medium. The embodiment of the invention belongs to the technical field of machine learning. The method comprises the steps of obtaining basic information of an insurance agent sent by a terminal as first information data; judging whether the insurance agent meets a preset condition or not according to the first information data; if the insurance agent meets the preset condition, obtaining interview data for interviewing theinsurance agent through a robot based on artificial intelligence as second information data; scoring the insurance agent by means of a preset model based on machine learning according to the first information data and the second information data to obtain a score of the insurance agent; judging whether the score exceeds a preset threshold value or not; if the score exceeds a preset threshold value, judging that the insurance agent passes the selection; and if the score does not exceed the preset threshold, it is judged that selection of the insurance agent is not passed, and the objectivity and accuracy of selection of the insurance agent can be improved.

Description

technical field [0001] The present application relates to the technical field of machine learning, and in particular to an artificial intelligence-based insurance agent selection method, device, computer equipment, and computer-readable storage medium. Background technique [0002] The traditional selection of insurance agents is mainly composed of written examinations and manual interviews. Due to non-closed answers, there are situations where the written examinations of insurance agents are not true. In order to continue to expand the scale of insurance agents, the interview threshold is lowered, and then insurance agents The written test and interview data are stored and transmitted through computer equipment. Since the computer equipment simply receives the interview result data of insurance agents and transmits and stores them, the agent selection process contains too many subjective factors in the selection process. Exams lead to inauthentic written examinations, and ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10G06Q40/08G10L15/07G10L15/22
CPCG06Q10/0639G06Q10/1053G06Q40/08G10L15/07G10L15/22
Inventor 蔡昀
Owner CHINA PING AN LIFE INSURANCE CO LTD
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