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Artificial-intelligence-based talent big data quantization precise matching method and apparatus

A talent big data, accurate matching technology, applied in data processing applications, office automation, instruments, etc., to achieve good application prospects and improve recruitment efficiency.

Inactive Publication Date: 2016-07-20
北京云太科技有限公司
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to provide an artificial intelligence-based quantitative and accurate matching method and device for big data of talents, so as to solve at least one of the above-mentioned problems in the prior art

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  • Artificial-intelligence-based talent big data quantization precise matching method and apparatus
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  • Artificial-intelligence-based talent big data quantization precise matching method and apparatus

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Embodiment Construction

[0026] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0027] The embodiment of the present invention firstly provides an artificial intelligence-based quantitative and accurate matching method of talent big data. figure 1 It is a schematic diagram of an artificial intelligence-based quantitative and precise matching method for big data of talents according to an embodiment of the present invention. The method for quantitative and precise matching of big data of talents based on artificial intelligence includes:

[0028] Step S102, collecting resumes provided by applicants, and extracting scoring vectors of multiple types of information in the resumes;

[0029] Step S104, extracting a predetermined number of resumes and their scoring vectors as tr...

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PUM

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Abstract

The invention provides an artificial-intelligence-based talent big data quantization precise matching method and an apparatus. The method includes the following steps: acquiring a resume provided by a job applicant, and extracting scoring vectors of plural types of information in the resume; extracting a predetermined number of resumes and scoring vectors thereof as training samples; using the machine deep learning algorithm to conduct training on the training samples so as to obtain a talent data scoring model; using the talent data scoring model to conduct scoring on the bulk of resumes so as to obtain a resume database with scoring values; the resume database with the scoring values providing resumes that match the scoring values in accordance with talent requirements input externally. The technical solution of the invention realizes quantization of the bulk resume information, so that the technical solution is easy to provide a resume with corresponding scoring value in accordance with talent requirements, is more efficient, and meets demands of network recruitment platform and employee entities.

Description

technical field [0001] The present invention relates to the field of artificial intelligence applications, in particular, to an artificial intelligence-based quantitative and precise matching method and device for talent big data. Background technique [0002] With the rapid development of communication technology and the explosive growth of information, how to select the required content from massive data has become an important research direction in the field of information processing. At present, information matching and effective use affect all aspects of people's work and study. Resume information is also part of these massive data. [0003] Recruitment is one of the most important tasks in human resource management. Resume screening is the first step in recruitment. At present, using online recruitment platforms to obtain resumes is a common method used by human resource managers. The online recruitment platform first obtains the resumes filled in by its registered u...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/06393G06Q10/1053
Inventor 闻详
Owner 北京云太科技有限公司
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