Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Artificial intelligence-based talent big data quantitative accurate matching method

A talent big data, accurate matching technology, applied in the field of data matching, can solve the problems of lack of quantitative evaluation of resumes, poor matching methods, omission of resumes, etc., to achieve good application prospects and improve recruitment efficiency.

Inactive Publication Date: 2018-10-12
UNIV FOR SCI & TECH ZHENGZHOU
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of use, such a matching method is ineffective, and the resumes provided cannot meet the requirements of the enterprise, and recruiters often need to manually screen again; on the other hand, there are many resume information, and recruiters lack effective resume Quantitative evaluation may cause the omission of resumes that require talents

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0017] This embodiment provides an artificial intelligence-based quantification and precise matching method of talent big data, and the specific steps are as follows:

[0018] (1) Data collection: First, publish the prepared talent recruitment application software on the Internet, so that the recruitment information of each enterprise can be published in the software, so that those who need to find a job will register on the software, and when registering, they need to fill in their personal information. The information and personal skills and expertise of the meeting, and then the keyword data collection module in the software collects the data and uploads it to the cloud server;

[0019] (2) Matching data collection: when the user uses the software, the information viewed by the user is automatically recorded, and the information viewed by the us...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an artificial intelligence-based talent big data quantitative accurate matching method, and belongs to the field of artificial intelligence. The method specifically comprises the following steps: (1) data collection: collecting information of registered user talents through talent software; (2) matching data collection: carrying out storage matching on the data via a cloud server; (3) talent data scoring: extracting sample data from the cloud server, carrying out classification and scoring according to industry types and extracting the scoring vector of the multi-class information in a resume; (4) classification of the scoring vector: dividing the scoring vector into a professional experience scoring vector, an educational background scoring vector, a business skillscoring vector, and a personal quality scoring vector. The invention is the artificial intelligence-based talent big data quantitative accurate matching method, which integrates information of variousaspects such as professional experience, educational background, business skills as well as personal qualities, and the like; and the final score value reflects the actual situation of the talent, thereby greatly improving the efficiency of recruitment. The method has a good application prospect.

Description

technical field [0001] The disclosure of the present invention relates to a data matching method, in particular to an artificial intelligence-based quantitative and precise matching method 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. Recruitment is one of the most important tasks in human resource management. Resume screening is the first link in recruitment. Currently, 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 users, and then recommends suitabl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/10
CPCG06Q10/1053
Inventor 齐仁龙
Owner UNIV FOR SCI & TECH ZHENGZHOU
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com