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A task pricing method based on self-service crowdsourcing platform

A self-service, task-based technology, applied in market forecasting, marketing, etc., can solve problems such as unreasonable pricing, no one cares about, and task failure, and achieve the effects of reliable models, accurate model prediction results, and simple calculations

Active Publication Date: 2020-11-06
北京未来云服科技有限公司
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AI Technical Summary

Problems solved by technology

If the pricing is unreasonable, some tasks will be ignored, resulting in task failure
Platform multi-task pricing is a complex issue, which occurs in many industries such as Didi Taxi, express delivery, food delivery, and product transportation. It involves many factors, such as task location and price, member location, member reputation, and task quota. The correlation between various factors makes pricing difficult

Method used

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  • A task pricing method based on self-service crowdsourcing platform
  • A task pricing method based on self-service crowdsourcing platform
  • A task pricing method based on self-service crowdsourcing platform

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Embodiment Construction

[0031] refer to figure 1 , a task pricing method based on a self-service crowdsourcing platform proposed by the present invention, including:

[0032] Step S1, remove outlier data in the mission point location data, specifically including:

[0033] For the mission point position data X′ i =(x' i ,y′ i ), (i=1,2,...,n) perform k-mediods central clustering analysis, and remove outlier data in the mission point location data.

[0034] In the specific plan, the outlier data in the mission point location data is eliminated or corrected by the k-mediods central clustering method, so as to prevent the abnormal data in the mission point location data from affecting the pricing results.

[0035] Step S2, perform data classification and dimensionality reduction on the position data of task points, calculate the position of each type of task center, obtain the nearest members and the number of their nearest task points in sequence according to each type of task center and the k-neare...

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Abstract

The invention discloses a task pricing method based on a self-service labor crowdsourcing platform. The method comprises steps that abnormal value data in task point position data is eliminated; dataclassification and dimension reduction for the task point position data are carried out, the position of each type of task centers is calculated, the number of nearest members and their nearest task points are sequentially acquired according to each type of the task centers and the k-neighbor method; according to the nearest member position corresponding to each type of task centers, the task quota and the task point position corresponding to the nearest member, a shortest path model is established for regional tasks to package the task centralized area tasks; a utility planning model is established based on the member position, the packaged task center position, the task quota, the acceptance start time, the member reputation value and task prices, and task pricing for each type of regional tasks is sequentially carried out according to the utility planning model. The method is advantaged in that task data of the labor crowdsourcing platform can be effectively processed based on the benefit planning model with shortest path packaging, and the reliable basis is provided for platform task pricing.

Description

technical field [0001] The invention relates to the technical field of task pricing, in particular to a task pricing method based on a self-service crowdsourcing platform. Background technique [0002] Nowadays, with the rapid development of the Internet and computers, the mobile Internet self-service model has penetrated into all walks of life and has become the main business model of many industries. The operation of this mode mainly provides services through the network service platform. Users and merchants can publish and extract task information on the platform as long as they register as members. This mobile Internet-based self-service crowdsourcing platform, especially as a third-party platform, provides various business inspections and information collection for users and enterprises. Compared with traditional market research methods, it can greatly save investigation costs and task completion time. Ensure tasks are completed quickly and efficiently. [0003] The s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0206
Inventor 刘冲杨翠
Owner 北京未来云服科技有限公司
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