Multidimensional field key knowledge-based recruitment information matching method

Abstract

The invention discloses a multidimensional field key knowledge-based recruitment information matching method. Keywords are extracted, direct matching between resume keywords and a position is conducted and correlation matching between a resume and position keywords is conducted to realize multidimensional precise matching between the resume and the position. The method comprises the steps of: extracting the keywords in position information and resume information, and expressing the position information and the resume information with a vector; carrying out the direct matching to obtain a direct-matching-obtained text similarity score; carrying out the correlation matching to obtain a correlation-matching-obtained text similarity score; acquiring a measurement index for predicting difference; and performing weighting calculation to obtain a final resume and position text similarity score which is used as an information matching result to complete recruitment information matching. The method can comprehensively show the information and knowledge between the keywords and the information and knowledge which are expressed by the keyword combination, effectively improves the matching precision of the position and the resume and reduces the human cost of HR (Human Resource) in recruitment.

Description

technical field [0001] The invention relates to data mining and information acquisition methods, in particular to a recruitment information matching method based on multi-dimensional key knowledge in the field. Background technique [0002] In real life, companies publish tens of thousands of jobs every day. For companies and job seekers, it usually takes a lot of time and effort to dig out useful information from the massive job information and resume information. [0003] Job information usually includes structured information (such as company name, job title, workplace, salary, education and other tags) and semi-structured information (such as job description, job requirements). Resume information usually includes structured information (such as name, education background, desired position) and semi-structured information (such as work experience, project experience). In the existing method, based on the vector space model matching method, the keyword vector space model ...

AI Technical Summary

Problems solved by technology

[0010] (1) Failing to measure the information and knowledge expressed between keywords and combinations of keywords;

[0011] (2) The calculation dimension is single and the matching accuracy is poor, so a lot of manual screening is still required

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