Online self-service interview method based on natural language understanding

A natural language understanding and interview technology, applied in the computer field, can solve problems such as difficulty in determining the time point of a centralized interview, consuming a lot of manpower and time resources, and lack of evaluation standards, so as to improve interview efficiency, interview flexibility, save manpower and effect of time

Pending Publication Date: 2021-02-26
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] During the initial interview, a lot of manpower and time resources will be consumed, the questions asked by the interviewer are not consistent, and there i...

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  • Online self-service interview method based on natural language understanding
  • Online self-service interview method based on natural language understanding
  • Online self-service interview method based on natural language understanding

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Embodiment Construction

[0041]In order to make the purpose, technical solution and advantages of this specification clearer, the technical solution of this application will be clearly and completely described below in conjunction with specific embodiments of this specification and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the specification, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

[0042]The embodiment of this application provides an online self-service interview method based on natural language understanding, which will be specifically described below:

[0043]figure 1 A schematic flow diagram of an online self-service interview method based on natural language understanding provided by an embodiment of this application,figure 1 The process in includes the following s...

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Abstract

The invention discloses an online self-service interview method based on natural language understanding, and the method comprises the steps: setting interview questions, question answers and questionweights, and generating an interview question bank; collecting resume information, wherein the resume information comprises a resume photo; based on the resume information, setting an evaluation rule,carrying out resume evaluation to obtain a resume evaluation result, and screening out a resume qualifier according to the resume evaluation result; enabling the resume qualifier to continue to participate in the network video interview, outputting questions and starting questioning, storing answer content of the interviewee in a system, carrying out semantic matching on the answer content and the question answers, and based on the semantic matching, obtaining related questions in the interview question bank and starting the next questioning; and based on the semantic matching, obtaining theanswer accuracy of the interviewee, and making interview evaluation.

Description

Technical field[0001]The embodiments of the present invention relate to the field of computer technology, and in particular to an online self-service interview method based on natural language understanding.Background technique[0002]With the rapid development of computer technology, various industries have set off a wave of application of computer technology to promote the development of the industry.[0003]In recent years, the number of employees has increased greatly. For large enterprises, talents play a vital role in the development of enterprises. During the peak period of corporate recruitment, a large number of resumes are often received. At present, the general process for most companies to recruit talents is to manually select resumes, and correspondingly to those who have passed the screening, organize human resources for preliminary interviews, and further select personnel based on the evaluation after the preliminary interviews to enter the next interview.[0004]During the...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q10/06G06F16/332G06F40/30G06N3/04
CPCG06Q10/105G06Q10/06393G06F16/3329G06F40/30G06N3/045
Inventor 徐驰谭强孙善宝于玲
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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