Method and system for shared employment task assignment based on reinforcement learning

A technology of reinforcement learning and task assignment, applied in the field of shared labor assignment assignment based on reinforcement learning, which can solve the problems of inability to calculate expected benefits, poor practicability, and inability to coordinate tasks with labor assignment.

Pending Publication Date: 2021-02-02
于野(苏州)大数据科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing method and system of shared employment task assignment based on reinforcement learning has the following shortcomings: the existing shared employment task assignment cannot flexibly assign tasks to cooperate with labor, and cannot calculate expected benefits, and its practicability is poor

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  • Method and system for shared employment task assignment based on reinforcement learning
  • Method and system for shared employment task assignment based on reinforcement learning

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0022] refer to Figure 1-2 , a method and system for assigning shared employment tasks based on reinforcement learning, comprising the following steps:

[0023] S1: Use special software to enter the relevant information of the waiting staff. On the premise that the skills meet the job requirements, the staff assignment requirements: the global job vacancies can be filled as much as possible, and the staff can be assigned to high-income positions as much as possible;

[0024] S2: The software uploads the relevant information of the job seekers to the Internet, and the Internet puts factors such as the health status, skills, credit problems and commuting distance of t...

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Abstract

The invention discloses a shared employment task assignment method and system based on reinforcement learning, and the method comprises the following steps: inputting the related information of a to-be-employed person through special software, meeting the employee assignment requirements on the premise that the skill meets the post requirements that: global post vacancy can be filled as much as possible, and the person can be distributed to a post with high income as much as possible, by the software, uploading the related information of the to-be-worked personnel to the Internet, and by the Internet, classifying the physical conditions, skills, credit problems, commuting distances and other factors of the to-be-worked personnel into the labels of the to-be-worked personnel. A trained model of one city can be used as the basis of model training of another city through transfer learning, the model training time is shortened, the model training effect is improved, the system can flexiblyassign tasks to cooperate with workers, and the expected income of people can be calculated.

Description

technical field [0001] The invention relates to the technical field of assignment of shared employment tasks, in particular to a method and system for assignment of shared employment tasks based on reinforcement learning. Background technique [0002] In recent years, with the development of Internet of Things big data and other technologies, the sharing economy is in the ascendant. Shared bicycles, online car-hailing, and shared charging treasures are ubiquitous, and they have quietly and gradually changed our way of life. [0003] With the gradual disappearance of the demographic dividend, the scissors gap formed by the year-on-year decline of the labor force and the increase in the demand for labor in economic development has become increasingly significant. The use of digital technology to improve the flexible employment of labor utilization is undoubtedly a good medicine to alleviate the pain points of enterprise employment. The post-90s and post-00s are more free-spiri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10G06Q10/04
CPCG06Q10/04G06Q10/06311G06Q10/06315G06Q10/1053
Inventor 邬学宁
Owner 于野(苏州)大数据科技有限公司
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