Intelligent recruitment method and system based on deep learning

A deep learning and intelligent technology, applied in neural learning methods, biological neural network models, office automation, etc., can solve the problems of inability to recruit talents, low efficiency, poor accuracy, etc., to improve recruitment efficiency and recruitment accuracy Effect

Inactive Publication Date: 2020-03-06
北京网聘信息技术有限公司
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Problems solved by technology

However, with the massive increase of resumes and recruitment information, the traditional recruitment methods relying on keyword search and job search are obviously inefficient and less accurate, and cannot recruit truly suitable talents for enterprises.

Method used

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  • Intelligent recruitment method and system based on deep learning

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0030] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0031] In a technical solution, such as figure 1 As shown, the intelligent recruitment method based on deep learning includes:

[0032] Collect sample resumes, extract keywords of sample resumes, conduct questionnaire tests on the owners of the sample resumes, and obtain the occupational scores of the owners of the sample resumes;

[0033] According to the corresponding relationship between the keyword of the sample resume and the occupation score of the owner of the sample resume, train and establish the first neural network prediction model;

[0034] Collecting sample recruitme...

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Abstract

The invention discloses an intelligent recruitment method based on deep learning. The intelligent recruitment method comprises the steps of training and establishing a first neural network predictionmodel; training and establishing a second neural network prediction model; acquiring recruitment information of the target enterprise, extracting keywords, and inputting a second neural network prediction model; and predicting to obtain an expected occupational score range of the target enterprise; obtaining recruitment information of the target enterprise, searching to obtain a first resume set,extracting keywords of each resume in the initial resume set, inputting the keywords into the first neural network prediction model, predicting to obtain vocational scores of job seekers correspondingto each resume, screening out resumes of which the vocational scores are within an expected vocational score range, obtaining a second resume set, and recommending the second resume set to the targetenterprise. According to the intelligent recruitment method, the recruitment information is matched with the resume by using the deep learning algorithm, so that the recruitment efficiency and accuracy are improved.

Description

technical field [0001] The present invention relates to the field of recruitment. More specifically, the present invention relates to a method and system for intelligent recruitment based on deep learning. Background technique [0002] The network reduces the cost of recruitment for enterprises. However, with the massive increase of resumes and recruitment information, the traditional recruitment methods relying on keyword search and job search are obviously inefficient and less accurate, and cannot recruit truly suitable talents for enterprises. Therefore, there is an urgent need to design a recruitment method and system that can overcome the above defects to a certain extent. Contents of the invention [0003] An object of the present invention is to provide an intelligent recruitment method based on deep learning, which uses deep learning algorithms to match recruitment information with resumes, thereby improving recruitment efficiency and accuracy. [0004] In order...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10G06N3/08G06N3/04G06F16/9535
CPCG06Q10/1053G06N3/08G06F16/9535G06N3/045
Inventor 郭盛
Owner 北京网聘信息技术有限公司
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