Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Incoming employee portrait generation method and device, computer equipment and storage medium

A technology for employees and portraits, applied in the field of big data, can solve the problems of new recruits, difficult to discover employee characteristics, and inability to assign more suitable and reasonable positions to employees, so as to save labor costs and improve work efficiency.

Pending Publication Date: 2021-11-09
深圳平安智汇企业信息管理有限公司
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, filling in a fixed and single online template format is not only nothing new for recruits, but also for the company, it is difficult for the company to tap the characteristics of employees, make an all-round positioning for employees, and fail to provide Accurate allocation of employees to more suitable and reasonable positions, not to mention the construction of a complete and comprehensive user portrait that conforms to the characteristics of the personnel

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Incoming employee portrait generation method and device, computer equipment and storage medium
  • Incoming employee portrait generation method and device, computer equipment and storage medium
  • Incoming employee portrait generation method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0064] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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 embodiment of the invention belongs to the technical field of big data, is applied to the field of smart government affairs, and relates to an in-job employee portrait generation method and device, computer equipment and a storage medium, and the method comprises the steps: cleaning historical resume data, and obtaining a historical dimension factor, a historical dimension factor weight, a historical dimension factor label and a historical dimension factor label weight; extracting a keyword in the resume of the employee, and obtaining a target dimension factor; obtaining a target dimension label according to the target dimension factor, and calculating a personal factor score based on the target dimension factor, the historical dimension factor weight, the target dimension label and the historical dimension factor label weight; subtracting the personal factor score from a preset classification score to obtain a difference value, and determining a candidate position according to the difference value and the personal factor score; and obtaining a position dimension factor corresponding to the candidate position, and generating a target portrait of the employee based on the position dimension factor. Historical dimension factors may be stored in a blockchain. According to the invention, a more accurate employee portrait is constructed.

Description

technical field [0001] The present application relates to the field of big data technology, and in particular to methods, devices, computer equipment and storage media for generating portraits of recruited employees. Background technique [0002] Traditional human resources management systems mostly use offline or online fixed templates to fill in personal data when personnel are hired, and all the information that recruits need to fill in is fixed. The company understands and locates the personnel through the information filled in by the recruits. [0003] However, filling in a fixed and single online template format is not only nothing new for recruits, but also for the company, it is difficult for the company to tap the characteristics of employees, make an all-round positioning for employees, and fail to provide Accurate allocation of employees to more suitable and reasonable positions, not to mention the construction of a complete and comprehensive user portrait that c...

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): G06Q10/06G06F16/2458G06F16/335G06F16/35
CPCG06Q10/06398G06F16/2462G06F16/335G06F16/35G06F2216/03
Inventor 黄宇董垒宁佐华李书君
Owner 深圳平安智汇企业信息管理有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products