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

Talent recommendation method and system based on big data

A recommendation method and big data technology, applied in the field of talent recommendation method and system based on big data, can solve the problems of reducing recruitment efficiency, talent assessment and screening, etc.

Inactive Publication Date: 2021-03-09
普工宝网络科技(重庆)有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a talent recommendation method and system based on big data, aiming to solve the problem that the existing network only provides talent recruitment display, does not conduct preliminary assessment and screening of talents, and only communicates and interviews through recruiting companies one by one , reducing the problem of recruitment efficiency

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
  • Talent recommendation method and system based on big data
  • Talent recommendation method and system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] First, see figure 1 , figure 1 It is a schematic flowchart of a big data-based talent recommendation method provided by an embodiment of the present invention. Specifically, the talent recommendation method based on big data may include the following steps:

[0030] S101. Fill in the job hunting information according to the job hunting information interface;

[0031] In the embodiment of the present invention, the job-seeking information is the basic information filled in by the job-seeker, such as name, age, education ...

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 discloses a talent recommendation method and system based on big data. The method comprises the steps of filling in job hunting information according to a job hunting information interface; extracting job hunting information for verification, if the verification is not passed, outputting a change interface, and reducing the credit rating of the job hunter; carrying out simulated interview and field strain capacity evaluation on the job seeker, and carrying out scoring; judging whether the score is higher than a first threshold; if so, outputting a recommended interview course information selection interface; selecting online courses and expenses or offline courses and expenses to carry out corresponding learning, carrying out the simulation interview again in a preset time until the score is higher than a first threshold value, and improving the occupational quality rating of the job seeker; and if the resume is higher than the first threshold, resume delivery is carriedout. Preliminary evaluation and screening of job seekers are realized, interview on duty is performed after course recommendation learning when skills are immature, reference is provided for recruitment enterprises, tedious communication between the recruitment enterprises and the job seekers is reduced, and recruitment efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of recruitment, in particular to a big data-based talent recommendation method and system. Background technique [0002] With the development of Internet technology, online job hunting / recruitment has become the main way for job seekers to find jobs and employers to recruit employees. However, the existing network only provides talent recruitment demonstrations, and does not conduct preliminary assessment and screening of talents. It only communicates and interviews through recruiting companies one by one, which reduces recruitment efficiency. Contents of the invention [0003] The purpose of the present invention is to provide a talent recommendation method and system based on big data, aiming to solve the problem that the existing network only provides talent recruitment display, does not conduct preliminary assessment and screening of talents, and only communicates and interviews through recruiting comp...

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
IPC IPC(8): G06Q10/10G06Q10/06G06F9/451
CPCG06Q10/1053G06Q10/06393G06F9/451
Inventor 宋勇
Owner 普工宝网络科技(重庆)有限公司
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