Campus recruitment-oriented resume screening method

Abstract

The invention provides a campus recruitment-oriented resume screening method, specifically comprising the steps of making a campus recruitment resume template, and determining composition modules andindexes; importing resume data and evaluation data; performing score calculation in the module, performing piecewise evaluation or linear evaluation on the objective ability of the applicant, and performing text matching degree calculation on subjective description words, including project work description and practice work description, of the applicant by using a TF-IDF method; setting scale values among the indexes by using an analytic hierarchy process (AHP), and calculating the weight of each module and the indexes; and calculating the distance between the score of the applicant and the ideal solution by using a TOPSIS method, and sorting the matching degrees of the applicant according to the distance.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a resume screening method for campus recruitment. Background technique [0002] In the traditional recruitment process, a large number of recruiters are manually responsible for multiple interviews and screening processes, which will consume a lot of manpower and time. [0003] In order to make the resume screening process more intelligent, some scholars have adopted different screening models for resume information extraction and score calculation, but there are certain shortcomings: some models do not specify the calculation methods of all indicators in the resume, so they cannot be calculated The final matching result; some models only score long text descriptions in resumes, or only score objective indicators, and the content of consideration is not comprehensive enough; some models use the method of directly setting weights, which lacks objective scientificity; some mod...

AI Technical Summary

Problems solved by technology

[0002] In the traditional recruitment process, a large number of recruiters are manually responsible for multiple interviews and screening processes, which will consume a lot of manpower and time

[0003] In order to make the resume screening process more intelligent, some scholars have adopted different screening models for resume information extraction and score calculation, but there are certain shortcomings: some models do not specify the calculation methods of all indicators in the resume, so they cannot be calculated The final matching result; some models only score long text descriptions in resumes, or only score objective indicators, and the content of consideration is not comprehensive enough; some models use the method of directly setting weights, which lacks objective scientificity; some models The screening model is only established for a specific position, which lacks universal applicability; the index establishment of most models is not suitable for the recruitment needs of school recruitment

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