Recruitment auxiliary method and device

Abstract

The embodiment of the invention discloses a recruitment auxiliary method and device, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining job hunting request information; obtaining a recruitment question set matched with the job hunting request information from a preset recruitment question library according to the job hunting request information; receiving answer information corresponding to recruitment questions in the recruitment question set; determining a next recruitment question in the recruitment question set according to the answering information of the answered recruitment question; and generating a prediction sample according to the job hunting request information and the answer information, inputting the prediction sample into a preset classification model, and taking the output of the classification model as a job hunting estimation result. Intelligent selection of recruitment questions can be achieved, job seekers cancontinue to answer the questions conveniently, personnel workers can select subsequent contact and interview according to job estimation results, and therefore personal information and skill levels inthe recruitment process can be effectively evaluated, and recruitment work efficiency is improved.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular to a method and device for assisting recruitment. Background technique [0002] At present, when recruiting personnel, most of them manually check resumes and screen through resumes to determine interviewers. However, in large enterprises, there are many people applying for positions and corresponding applications, and the method of manual review of resumes is cumbersome and inefficient. [0003] In order to overcome the above problems, artificial intelligence technology has been used to participate in recruitment assistance work to solve the screening of massive resumes and the matching evaluation of resumes and positions. For example, based on the evaluation results of historically delivered resumes under a given category, by extracting characteristic data related to the evaluation, a resume evaluation model is constructed to evaluate the resumes received, so a...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the current recruitment assistance work of artificial intelligence technology is still in the process of evaluating and processing resumes. However, resumes may not fully reflect the personal information and skill level of applicants. Authentic assessments of personal information and skill levels in the

Images