Interview method, device and computer equipment based on intelligent interview interactive system

Abstract

The present application discloses an interview method, device, computer equipment and storage medium based on an intelligent interview interactive system. The method includes: outputting preset multiple specified questions to the user terminal; receiving the multiple specified questions from the user terminal multiple specified answers, and input the multiple specified answers into the preset employment tendency prediction model based on machine learning model training to obtain the employment tendency of the user corresponding to the user terminal; if the user’s nervousness value is at If it is within the preset emotional range value, then judge whether the user’s employment tendency is employment; if the user’s employment tendency is employment, then receive the consultation question sent by the user terminal; obtain the similarity value with the consultation question target questions greater than a preset similarity threshold; sending answers corresponding to target questions whose similarity values ​​are greater than a preset similarity threshold to the user terminal. Thereby expanding the applicable population and improving the interview success rate.

Description

technical field [0001] This application relates to the computer field, in particular to an interview method, device, computer equipment and storage medium based on an intelligent interview interactive system. Background technique [0002] Intelligent interviews such as AI (artificial intelligence) interviews can reduce labor costs and have excellent development potential. The traditional intelligent interview method can only provide a determined questionnaire to the respondent, and generate an interview report based on the answer of the respondent to the questionnaire. Therefore, the defects of the traditional intelligent interview method include: the inaccurate prediction of the respondent's employment tendency, the lack of interaction with the respondent, and the fixed population because the questionnaire answered by the respondent is predetermined. Narrow, etc., resulting in a low interview success rate (due to inaccurate information collection, untimely and incomplete i...

AI Technical Summary

Problems solved by technology

Therefore, the defects of the traditional intelligent interview method include: the inaccurate prediction of the respondent's employment tendency, the lack of interaction with the respondent, and the fixed population because the questionnaire answered by the respondent is predetermined. Narrow, etc., resulting in a low interview success rate (due to inaccurate information collection, untimely and incomplete interaction with the respondent, resulting in a low possibility of recruiting talents)

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