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Task optimal price prediction method, device and system of mobile internet labor service crowdsourcing platform

A technology of mobile Internet and prediction method, applied in the field of task optimal pricing prediction of mobile Internet labor service crowdsourcing platform, can solve the problems of less research on crowdsourcing problems, improve interpretability and predictability, improve prediction accuracy, and high execution rate Effect

Inactive Publication Date: 2019-09-20
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the pricing schemes given in the above studies use subjective experience for pricing and are only optimized in unilateral aspects such as task completion rate.
[0006] At present, there are few researches on crowdsourcing in China, most of which focus on the conceptual nature of crowdsourcing, user behavior, etc., and rarely explore and optimize from the perspective of the platform and platform system operators, which requires a released task A labor crowdsourcing platform system that has a high execution rate and reduces the total amount (cost) of task remuneration

Method used

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  • Task optimal price prediction method, device and system of mobile internet labor service crowdsourcing platform
  • Task optimal price prediction method, device and system of mobile internet labor service crowdsourcing platform
  • Task optimal price prediction method, device and system of mobile internet labor service crowdsourcing platform

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Embodiment 1

[0084] According to an aspect of one or more embodiments of the present disclosure, a method for predicting optimal pricing of tasks on a mobile Internet labor service crowdsourcing platform is provided.

[0085] Such as Figure 4 As shown in , a mobile Internet labor service crowdsourcing platform task optimal pricing prediction method, the method includes:

[0086] A mobile Internet labor service crowdsourcing platform task optimal pricing prediction method, the method comprising:

[0087] Step S1: Receive the geographical location information of the task point, the completed task data set and the member personal information data set;

[0088] Step S2: Screen the representative members of the task point, and remove the representative members whose implementation quota is zero;

[0089] Step S3: performing feature extraction on the removed representative members;

[0090] Step S4: Input the member feature information into the BP neural network trained based on the structur...

Embodiment 2

[0202] According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.

[0203] A computer-readable storage medium, wherein a plurality of instructions are stored, and the instructions are suitable for being loaded by a processor of a terminal device and executing the method for predicting optimal pricing of a mobile Internet labor service crowdsourcing platform task.

Embodiment 3

[0205] According to an aspect of one or more embodiments of the present disclosure, a terminal device is provided.

[0206] A terminal device, which includes a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, and the instructions are suitable for being loaded by the processor and executing the described one A mobile Internet labor service crowdsourcing platform task optimal pricing prediction method.

[0207] These computer-executable instructions, when executed in a device, cause the device to perform the methods or processes described in accordance with various embodiments of the present disclosure.

[0208] In the present invention, a computer program product may include a computer-readable storage medium carrying computer-readable program instructions for carrying out various aspects of the present disclosure. A computer readable storage medium ma...

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Abstract

The invention discloses a task optimal price prediction method, device and system of a mobile internet labor service crowdsourcing platform. The method comprises the steps of receiving the geographic position information of a task point, a finished task data set and a member personal information data set; screening the representative members of the task point, and removing the representative members with the implementation quotas being zero; performing feature extraction on the rejected representative members; and inputting the member feature information into a BP neural network which is trained based on a structure adaptive algorithm and introduces a learning rate correction weight, and performing prediction to obtain the task optimal price. A mobile internet labor service crowdsourcing platform system comprises a user terminal, a labor service entrusting party terminal and a platform server, and the platform server adopts the task optimal price prediction method of the mobile internet labor service crowdsourcing platform to determine the task optimal price.

Description

technical field [0001] The disclosure belongs to the technical field of labor crowdsourcing platforms, and relates to a method, device and system for predicting optimal pricing of tasks on a mobile Internet labor crowdsourcing platform. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the advancement of science and technology and the development of the times, IT technology represented by artificial intelligence and big data has penetrated into various industries. By combining machine learning, data mining and other methods, it can realize multi-directional and rapid analysis and processing of a large amount of complex data. The concept of crowdsourcing was first proposed by Jeff Howe, and it is defined as: "Crowdsourcing refers to the behavior of a company or institution that voluntarily outsources the work originally completed by int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/04G06N3/04G06N3/08
CPCG06Q30/0206G06Q10/047G06N3/084G06N3/044
Inventor 段佳希张永胜张婕黄晓翔
Owner SHANDONG NORMAL UNIV
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