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Interview method and device based on AI auxiliary interview scene and terminal equipment

A technology of scenarios and questions, applied to devices and terminal equipment, in the field of interview methods based on AI-assisted interview scenarios, can solve problems such as inaccurate score determination, unstable and reliable analysis of interview results, and lack of scoring ability, so as to improve the accuracy rate Effect

Active Publication Date: 2019-10-18
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to propose an interview method, device and terminal equipment based on an AI-assisted interview scene, so as to solve the problem of not having the ability to score impromptu questions asked by the interviewer when AI technology is used to assist the interview in the prior art. In addition, when the interviewer interviews, the use of existing questions in the question bank also has inaccurate score determination, and the analysis of interview results is unstable and reliable.

Method used

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  • Interview method and device based on AI auxiliary interview scene and terminal equipment
  • Interview method and device based on AI auxiliary interview scene and terminal equipment
  • Interview method and device based on AI auxiliary interview scene and terminal equipment

Examples

Experimental program
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Embodiment 1

[0054] Such asfigure 1 As shown, the embodiment of the present invention provides an interview method based on an AI-assisted interview scenario. By providing an appropriate scoring model to assist the interview, the method includes but is not limited to the following steps:

[0055] S101. Obtain voice content expressed by an interviewer, and convert the voice content into text content.

[0056] The implementation of the above step S101 can use a front-end system; wherein, the front-end system can be implemented by a PC terminal or a mobile phone terminal. The front-end system realizes the conversion from voice content to text content through automatic speech recognition (Automatic Speech Recognition, ASR) technology.

[0057] In one embodiment, the obtained text content can use text recognition technology, such as natural language processing (Natural Language Processing, NLP) technology, to identify errors in the text content, such as semantic, grammatical or / and logical err...

Embodiment 2

[0098] Such as figure 2 As shown, the embodiment of the present invention provides an interview method based on an AI-assisted interview scenario, and shows the detailed implementation process of step S105 in the first embodiment. When starting the similar question engine in step S105, obtain the question template according to the processing result of the similar question engine, and select a scoring model to score the interviewer's answer, which may include:

[0099] S10511. When starting the similar query engine, invoke the trained matching neural network model in the similar engine, and convert the key information into word vectors through the matching neural network model.

[0100] In the above step S10511, the key information in the text content based on the interviewer's expression is converted into a word vector, and the word vector is used for matching to obtain an accurate matching range.

[0101] In one embodiment, considering that the interviewer may temporarily e...

Embodiment 3

[0134] Such as Figure 4 As shown, the embodiment of the present invention provides an interview method based on an AI-assisted interview scenario, and shows the detailed implementation process of step S105 in the first embodiment. In step S105, when the similar question engine is not started, the question template is obtained according to the key information, and the scoring model is selected to score the interviewer's answer, which may include:

[0135] S10521. When the similar question engine is not started, match the question template in the question database according to the question ID in the key information.

[0136] S10522. Call the scoring model corresponding to the successfully matched question template, and score the interviewer's answer according to the scoring model.

[0137] In the above step S10521 and step S10522, if the similar question engine is not activated, it means that in the current interview scene, random questions from the interviewer will not appear...

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Abstract

The invention is suitable for the technical field of computer application, and provides an interview method and device based on an AI auxiliary interview scene and terminal equipment, and the method comprises the steps: obtaining voice content expressed by an interviewer, and converting the voice content into text content; performing word segmentation processing on the text content to obtain a word segmentation database; acquiring key information from a word segmentation database; judging a current interview scene type according to the key information, selecting whether to start a similar question engine or not according to the interview scene type, obtaining a question template according to a processing result of the similar question engine when the similar question engine is started, andselecting a scoring model to score answers of the interviewer; and when the similar question engine is not started, obtaining a question template according to the key information, and selecting a scoring model to score answers of the interviewer. The accuracy of AI interview evaluation can be improved while the flexibility and subjective initiative of real interview are reserved.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to an interview method, device and terminal equipment based on an AI-assisted interview scene. Background technique [0002] AI-assisted interviews, that is, the behavior of live interviewers conducting on-site or remote interviews with candidates with the assistance of AI-assisted interview systems. Compared with traditional interview scenarios, AI-assisted interviews can provide interviewers with candidate information, recommend interview questions, record the interview process, and generate evaluation reports for interview results. It has the advantages of structured process and standardized scoring. [0003] In the AI-assisted interview scenario, the AI-assisted interview system will generate a list of corresponding questions from the question bank based on the ability profile of the current interview position, and play the role of prompting the interviewer...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/332G06Q10/10
CPCG06F16/3343G06F16/3334G06F16/3329G06F16/334G06Q10/1053
Inventor 孙静远徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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