Resume screening method and system, equipment and storage medium

Abstract

The invention discloses a resume screening method. The method comprises: obtaining resume text content; performing screening and primary processing on the text data; performing Chinese word segmentation on the resume plain text content; constructing a word frequency cloud; calculating the eccentricity of each word; storing the eccentricity of each word in a database for calling and querying; performing word segmentation on the to-be-screened resume text content; querying the corresponding eccentricity of each word in the word frequency cloud database after the word segmentation operation; calculating the average eccentricity of the whole to-be-screened resumes; and judging whether the resume meets the requirement or not according to a preset eccentricity threshold value. According to the screening method, a recruitment website can simply and quickly perform preliminary screening on massive resume information contents input by job seekers, suspected low-quality resumes are screened out, and operability and convenience are provided for the next step of accurate screening of the low-quality resumes.

Description

technical field [0001] The invention relates to the field of online recruitment, in particular to a method, system, device and storage medium for completing resume screening according to the comparison results of word frequency information of resumes and information in a word frequency cloud database. Background technique [0002] Compared with traditional offline recruitment, online recruitment has great advantages in terms of convenience and information transparency. A general recruitment website or APP client will store a large amount of resume information of job seekers, and with the continuous increase of new job seekers, the resume information of job seekers forms a huge job search data database. Usually, recruitment websites will design different resume templates for job seekers to fill in according to the breadth and level of information required by the enterprise, which largely regulates the resume filling behavior of job seekers. However, in order to highlight the...

AI Technical Summary

Problems solved by technology

This method is actually a resume content extraction method, which solves the problems that the resume information extraction process is easily interfered by invalid information, the word segmentation granularity is too small, and the entity reference is unclear. However, this method also does not pay attention to the screening of low-quality resumes. Resume Screening for Large Online Recruiting Sites

At the same time, this method uses the neural network model to divide the resume into modules, which has high requirements for the modeling and training of the neural network. It is necessary to continuously improve and iterate the model. The process of forming a better judgment is longer, and the model output The object is a structured resume, and it does not make a special contribution to the screening of resume quality

[0005] The main purpose of the above resume screening method is to screen out the main content and core parts of the resume, and does not use technical means to achieve the purpose of filtering low-quality resumes on online recruitment websites

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