Fresh graduate resume quality diagnosis method

Abstract

The invention provides a fresh graduate resume quality diagnosis method which comprises the following steps of S1, inputting and configuring by a diagnosis system; S2, carrying out the willingness collection diagnosis initialization before diagnosis; S3, diagnosing and correcting; and S4, pushing, feeding back and filing the diagnosis reports, automatically generating the user-oriented resume diagnosis reports, automatically detecting the browsing duration of the user reports and the checking condition of the final report subdivision units, collecting the user diagnosis problem recognition degree feedback, automatically annotating the corresponding labels for talents, and filing the talent libraries and diagnosis conditions. According to the method, the diagnosis quality and the diagnosisefficiency of the fresh graduate resume problems can be remarkably improved, and a large-scale scheme support is provided for the guidance and popularization of the fresh graduate resumes.

Description

Technical field [0001] The invention belongs to the technical field of resume diagnosis, and specifically relates to a method for diagnosing the resume quality of fresh graduates. Background technique [0002] As a key link related to the quality and efficiency of job hunting for college students, the resume plays an important role in the process of college students' job hunting. Different from social recruitment candidates, fresh graduate candidates often have the common problems of poor recognition of job target job requirements and lack of matching work experience. Therefore, most college students' job resumes are faced with confusion in presentation structure and poor job relevance. General problem. Facing the general confusion of college students’ resume production, most colleges and universities or social employment guidance agencies provide guidance services related to resume diagnosis and resume modification, but how to ensure the diagnosis efficiency of college students...

AI Technical Summary

Problems solved by technology

However, there are also significant defects. Text extraction and key information extraction and recognition technologies can judge the completeness of a student's resume, but cannot judge the quality of the resume content; manual diagnosis depends entirely on the personal experience of the tutor, and the cost is high and the service quality is uncontrollable; Template downloading and resume classes depend on students' ability to learn and analyze, and students are often confused and anxious in the process of job hunting and lack the patience to understand in detail. Therefore, so far, resume diagnosis services have not been able to provide large-scale job-seeking guidance for students. universal

Images