Text analysis method and device suitable for man-post matching recommendation system

Abstract

The invention discloses a text analysis method and device suitable for a man-post matching recommendation system. The method comprises the following steps: obtaining position text information input byan employee unit and resume text information input by a job seeker, wherein the position text information is related information for a to-be-recruited position, and the resume text information is theresume of the job seeker; setting a plurality of information labels for the position text information and the resume text information, wherein the label information corresponding to the information labels at least comprises position function classifications, high-frequency keywords, skill keywords, subdivision industries, salary prediction, position required working life and position required educational background; and generating label information by adopting a label generation method matched with each kind of label information. By adopting the method and the device, finer labels are added to the resumes and the positions, so that the analysis fineness of the resumes and the positions can be improved, and the matching degree of man-post matching is further improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a text analysis method and device suitable for a person-post matching recommendation system. Background technique [0002] The traditional field of recruitment services is a business process in which a recruitment consultant finds suitable candidates through job information and recommends the candidates to the company. After the candidates pass the company's resume screening and interview assessment, they enter the job, and the company returns the money to the recruitment consultant. At present, there are certain problems in the process of consultants matching positions and resumes: for example, how to quickly find suitable candidates through job information, especially for recruiting consultants who have just entered the industry, facing an unfamiliar field, it takes a long time to master relevant information Due to experience, the efficiency of job matching is low, and the ma...

AI Technical Summary

Problems solved by technology

At present, there are certain problems in the process of matching positions and resumes for consultants: for example, how to quickly find suitable candidates through job information, especially for recruiting consultants who have just entered the industry, facing an unfamiliar field, it takes a long time to master relevant information. Experience leads to low efficiency in job matching and low matching degree, which will directly affect the trust of employers in candidates recommended by headhunting consultants

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