Fresh graduate resume quality diagnosis method

A technology for quality diagnosis and fresh graduates, applied in data processing applications, special data processing applications, resources, etc., can solve problems such as uncontrollable service quality, inability to judge the quality of resume content, high cost, etc., to improve the efficiency of manual diagnosis, The effect of reducing dependence on interview experience

Pending Publication Date: 2019-08-09
南京才多多网络科技有限公司
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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 uncontr

Method used

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  • Fresh graduate resume quality diagnosis method
  • Fresh graduate resume quality diagnosis method

Examples

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Embodiment Construction

[0030] Such as Figure 1-Figure 4 As shown, a method for diagnosing the quality of freshmen's resume includes the following steps:

[0031] S1: Diagnosis system entry and configuration, enter the knowledge base of common resume problems of each module, the information of the diagnostic staff and the diagnostician, the key suggestions for the resume writing of each unit and the standardized resume demonstration template, and configure each information accordingly;

[0032] S2: Pre-diagnosis intention collection and diagnosis initialization, online collection of student job search intention information and resume information, text analysis of the educational background information in the student resume information, and refinement of structured educational background information, extracting student job search information and educational background information Structured presentation on the PC side;

[0033] S3: Diagnose and correct, extract the enumerated problem option list from the r...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q10/06G06F16/33
CPCG06Q10/1053G06Q10/06393G06F16/334
Inventor 殷海峰
Owner 南京才多多网络科技有限公司
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