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A method and device for job matching based on graph neural network

A technology of neural network and matching method, applied in the field of job matching based on graph neural network, can solve the problem of low matching between recommended jobs and personnel, and achieve the effect of high matching and reasonable jobs

Active Publication Date: 2022-07-12
PEKING UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above method has problems such as the low degree of conformity between the recommended positions and personnel

Method used

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  • A method and device for job matching based on graph neural network
  • A method and device for job matching based on graph neural network
  • A method and device for job matching based on graph neural network

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Embodiment Construction

[0045] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] It should be noted that, in the description of the embodiments of the present invention, the terms "comprising", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, thereby making a process, method, article or device including a series of elements Not only those elements are included, but other elements not expressly listed or inherent to such a process, method, articl...

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Abstract

The present invention provides a method and device for job matching based on a graph neural network, comprising: acquiring a target job sequence corresponding to a target resume; inputting the target job sequence into a job matching model, and obtaining the target job sequence output by the job matching model and a plurality of The matching degree of the preset positions; according to the matching degree, the matching positions of the target resumes are determined in multiple preset positions; the position matching model is constructed based on the graph neural network; the position matching model is based on the sample job sequence, and the sample job sequence corresponds to The samples of matching jobs obtained after training. The method and device for job matching based on the graph neural network provided by the present invention utilizes the job matching model constructed based on the graph neural network to match the next job of the individual corresponding to the target resume data with the job of each preset job according to the target job sequence. , so that the matching positions are more reasonable and the degree of conformity with the personnel is higher.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and device for job matching based on a graph neural network. Background technique [0002] Most of the existing cadre management systems only have simple functions such as database storage and rule query. [0003] With the development of recommendation system technology, job recommendation is one of the important application directions of recommendation system. Existing prediction models based on job-hunting text information can map text to a vectorized space, and use text classification for job recommendation. [0004] The above method has the problem that the degree of conformity between the recommended positions and the personnel is not high. SUMMARY OF THE INVENTION [0005] In view of the problems existing in the prior art, the embodiments of the present invention provide a method and device for job matching based on a graph neural network. [0...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9035G06N3/04G06N3/08G06Q10/10G06F16/901
CPCG06F16/9035G06Q10/105G06F16/9024G06N3/04G06N3/08Y02P90/30
Inventor 胡文蕙刘学洋张津婵邵文宇
Owner PEKING UNIV
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