Dynamic intelligent interview method and device for intensifying sorting and computer storage medium, equipment

Abstract

The invention discloses a dynamic intelligent interview method for intensifying sorting. The dynamic intelligent interview method comprises the following steps: customizing an enterprise personalizedscheme, constructing an AI evaluation model, constructing a regression model, tracking practice candidates, and optimizing a reinforced learning model. Interview questions are formulated through personalized customization and structural interview; candidates are invited to perform online video interview; expressions, appearance levels, sounds and answer texts of the candidates are evaluated by utilizing an artificial intelligence algorithm; by taking the decision result of the professional HR as a regression target, the interview cost of the enterprise and job seekers can be saved, a quick, objective and accurate interview evaluation result is realized, and meanwhile, the score interval of excellent employees of the enterprise is taken as an optimal matching interval, so that the talent loss of the enterprise can be better reduced, and the waste of recruitment resources is reduced.

Description

technical field [0001] The invention relates to an interview method based on the technical field of artificial intelligence, in particular to a dynamic intelligent recruitment interview method capable of strengthening sorting and a system for realizing the method. Background technique [0002] In recent years, the number of newly employed people in my country has been huge. According to the data of the National Bureau of Statistics, since the 18th National Congress of the Communist Party of China, the Party Central Committee has implemented the employment priority policy, and the total number of urban employment in the country has increased by more than 63 million, an average annual increase of 1,000. More than ten thousand people. At the same time, the number of job seekers is also increasing year by year. According to data from the Ministry of Education, there are 8.34 million college graduates in 2019, an increase of 140,000 compared with 8.2 million in 2018. This does not...

AI Technical Summary

Problems solved by technology

Both of them increase the recruitment cost of enterprises and the job search cost of job seekers at the same time.

[0007] (1) Inconsistent interview standards: Different interviewers have inconsistent interview styles. It is difficult for the same interviewer to achieve consistent interview standards in large-scale centralized interviews. Therefore, the current interview methods cannot be strictly fair and objective.

[0008] (2) High interview costs: On the one hand, the two-way selection nature of the interview, the lack of knowledge of job seekers about their own abilities, and the "sea investment" strategy will bring more resume screening and interview pressure to the company, which will increase the recruitment cost of the company. At the same time, it also requires job seekers to spend more energy and financial resources to travel to multiple cities to find a more suitable job

On the other hand, it is difficult for job seekers to know the position that is most suitable for them, resulting in "blind casting" of job seekers, or leaving the job quickly after finding that they are not suitable for the position after taking the job, both of which will bring hidden interview costs increase

[0009] (3) The existing interview system is relatively elementary: the interview system currently on the market only provides an interview platform for both interviewers, avoiding the travel costs of both parties, and cannot fundamentally reduce the recruitment pressure of the enterprise; other automated resume screening The system can only conduct preliminary screening from the perspectives of resume key phrase matching and academic qualification screening, and does not have the intelligent discrimination ability of real interviewers

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