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Complex task allocation method based on social network

A social network, complex task technology, applied in the field of complex task assignment based on social network, can solve problems such as increasing the unfairness of transactions and not considering the strategy of participants

Inactive Publication Date: 2017-12-29
YANGZHOU UNIV
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] 2) Existing platforms simply consider whether workers contribute skills to tasks to decide whether workers join the team
The existing crowdsourcing task allocation does not consider the strategy of the participants, which makes some fraudsters profit and increases the unfairness of the transaction

Method used

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  • Complex task allocation method based on social network
  • Complex task allocation method based on social network
  • Complex task allocation method based on social network

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Embodiment Construction

[0025] Technical thinking of the present invention is:

[0026] The schematic diagram of the model of the present invention is as figure 1 shown. The social network is composed of workers, adjacency and weight; the task requester submits a task to the platform, including the skill request and valuation of the task; the worker submits the skills and the corresponding cost to the platform; the crowdsourcing platform as the auctioneer is responsible for the entire The operation of the allocation process mainly includes two stages of winner decision-making and pricing strategy. The platform evaluates worker suitability in terms of contribution margin and closeness. The allocation process adopts Myerson algorithm theory, and the fee paid by workers is the critical price. When the price quoted by a team worker is greater than the critical price, other failed workers will take the place of the worker, and the worker will become a loser. Therefore, the whole process is a strategy-...

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Abstract

The invention relates to a complex task allocation method based on a social network. The social network SN is composed of workers A, adjacency relationship E, and weight D. A task requester submits a task R to a platform, including the skill request and estimated value of the task. Workers in A constituting the social network submit skills and corresponding costs to the platform. After collecting the information of the social network, the task requester and the workers, the platform as an auctioneer operates the entire allocation process, mainly including a winner decision stage and a pricing strategy stage. The failure to consider the social network among workers, the intimacy and skill contribution of the team and the fairness is overcome. By using an auction approach and considering the social network among workers, the team and the skill, a strategy-proof allocation mechanism is achieved.

Description

technical field [0001] The invention relates to the field of task distribution and incentive mechanism, in particular to a complex task distribution method based on social network. Background technique [0002] Crowdsourcing is a way for task requesters with a budget to post tasks and request workers with specific skills for the purpose of getting paid to complete the task. Nowadays, there are many crowdsourcing platforms, for example, Amazon MechanicalTurk, Elance, etc. abroad; Zhubajie.com, Mission China, etc. in China. Social network refers to a relatively stable relationship system formed by interaction among individual members of society. There is also a social network in crowdsourcing. For example, because two workers have cooperated before, the two workers have a certain degree of intimacy. When they cooperate again, they will be more coordinated and complete tasks more efficiently. [0003] Before the present invention was made, there were several difficulties as f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10G06Q50/00
CPCG06Q10/063112G06Q10/101G06Q50/01
Inventor 秦海燕章永龙李斌陈书彦
Owner YANGZHOU UNIV
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