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A method and computing device for matching resumes and positions

A technology for computing equipment and resumes, applied in the field of machine learning, can solve problems such as low accuracy rate and inability to meet the matching of people and jobs, and achieve the effect of improving accuracy rate

Active Publication Date: 2021-08-17
BEIJING CHEZHIYING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accuracy of using this method to match positions and resumes is still low, which cannot meet the needs of job matching.

Method used

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  • A method and computing device for matching resumes and positions
  • A method and computing device for matching resumes and positions
  • A method and computing device for matching resumes and positions

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Embodiment Construction

[0033] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0034]In the existing schemes based on deep neural network to extract and match the label information of positions and resumes, only the text features of positions or resumes are used for classification, and the information between labels is not considered and classified. This method is accurate The rate is low; and this method only uses the classification network, so it can only output labels. For example, when the matching degree ...

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Abstract

The invention discloses a method for matching resumes and positions, comprising the steps of: obtaining a tag correlation matrix, each element of which represents the correlation between two category tags in a tag set; combining the tag correlation matrix and the tag The set is input to the tag correlation neural network for processing to generate a tag correlation vector; the resume text and post text to be matched are input into the job post neural network for processing to generate a job post embedding vector; the tag correlation vector and job post The post embedding vector is fused to generate a fusion vector; the fusion vector is split into the first split vector and the second split vector; and based on the first split vector and the second split vector, the resume text and post text are obtained Personnel match. The invention also discloses corresponding computing equipment.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a neural network-based resume and post matching method and computing equipment. Background technique [0002] With the development of the Internet, recruiters and applicants in all walks of life now use online recruitment systems to post job information, screen resumes, and deliver resumes. Today, there are hundreds of millions of job information and resume information on the Internet, and it continues to grow. The large-scale data volume has brought new challenges to recruitment, and it is difficult for applicants to select suitable candidates from a large amount of job information. post. Before the emergence of artificial intelligence technology, the traditional job matching (that is, the matching of the applicant's resume and the recruiting position) is generally realized through keyword matching. First, the keywords of the job information are obtained through data analysis, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/10G06F40/151G06N3/04G06N3/08
CPCG06Q10/1053G06F40/151G06N3/08G06N3/048G06N3/045
Inventor 王磊刘峰
Owner BEIJING CHEZHIYING TECH CO LTD