Supercharge Your Innovation With Domain-Expert AI Agents!

Turnover person prediction method and device based on artificial intelligence

A technology of personnel and employees, which is applied in the field of personnel loss prediction and computer-readable storage media, can solve the problem of efficient and accurate prediction of personnel loss without effective solutions, achieve high model generalization ability, and solve the problem of rough construction features, The effect of improving accuracy

Pending Publication Date: 2020-09-25
TENCENT CLOUD COMPUTING BEIJING CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, related technologies have no effective solution for how to efficiently and accurately predict the loss of 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
  • Turnover person prediction method and device based on artificial intelligence
  • Turnover person prediction method and device based on artificial intelligence
  • Turnover person prediction method and device based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the present invention, and those of ordinary skill in the art do not make any All other embodiments obtained under the premise of creative labor belong to the protection scope of the present invention.

[0041] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herei...

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 a turnover person prediction method and device based on artificial intelligence. The method comprises the steps of obtaining a feature coding sequence of sample turnover personsaccording to basic attribute features and historical job attribute features of each sample lost person in a turnover person set; determining a feature coding sub-sequence of which the occurrence frequency exceeds a frequency threshold value as a frequent feature coding sequence in feature coding sub-sequences included in the feature coding sequence of the sample turnover personnel; fusing each feature code in the frequent feature code sequence according to the importance degree to obtain a strong correlation feature code representing the generality of the turnover person set; constructing a training sample based on the strong correlation feature code, training a machine learning model based on the training sample, and predicting the probability that the to-be-predicted person becomes a turnover person based on the trained machine learning model. According to the invention, the turnover person can be efficiently and accurately predicted.

Description

technical field [0001] The present invention relates to the field of artificial intelligence and big data technology, and in particular to an artificial intelligence-based method, device, electronic equipment, and computer-readable storage medium for predicting lost personnel. Background technique [0002] Artificial intelligence is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. Artificial intelligence is developing rapidly today and is widely used in various industries. [0003] Take the application scenario of predicting the loss of personnel as an example. The loss of personnel is a difficult problem that every enterprise will face. For enterprises, the loss of employees is a major cost of the organization, and it takes a lot of time and energy to find a sui...

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): G06Q10/10G06Q10/04G06F16/27G06F16/23G06N3/08
CPCG06Q10/105G06Q10/04G06F16/27G06F16/23G06N3/08
Inventor 刘志煌
Owner TENCENT CLOUD COMPUTING BEIJING CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More