Complex task allocating method in crowdsourcing environment

Abstract

The invention relates to a complex task allocating method in crowdsourcing environment. According to the invention, a task requester submits the special skills required by the completion of the task and the price quotation to complete these skills. The workers submit their skills and the price quotation for each of their skills. The crowdsourcing platform, as an auctioneer, is responsible for the operation of the entire allocation process and is mainly involved in the work of three stages: participant screening, policy making stage and the quality updating. The method of the invention overcomes the limitations of previously considered offline scenes in which the qualities of allocation and the quality of participants are not combined and unfairness exists. The method uses the auction manner to make decisions, wherein the task requester is a purchasing party and the workers are a selling party, and the method comprises online screening of users, winner decision / pricing strategy, and quality updating, realizing the matching of the task requester and the workers and deciding the final payment between the two parties. The method incorporates the quality of participants into auction, making the auction result more reasonable and fairer.

Description

A complex task allocation method in crowdsourcing environment technical field The invention relates to the field of task allocation and incentive mechanism, in particular to a complex task allocation method in a crowdsourcing environment. Background technique Crowdsourcing is a way for requesters with a budget to post tasks and request workers with specific skills for the purpose of getting paid to complete the tasks. Today, there are many crowdsourcing platforms, for example, Amazon Mechanical Turk (AMT for short). In AMT, requesters issue HITs (Human Intelligence Tasks) to online workers. But in general, AMT only releases micro-tasks with small rewards, such as social science experiments, posting photos, etc., while TopCoder is a large-scale crowdsourcing platform designed for software development. Before the present invention was made, there were several difficulties as follows in the existing crowdsourcing platform: 1) Crowdsourcing task allocation can be divided ...

AI Technical Summary

Problems solved by technology

Existing crowdsourcing platforms only consider the results of the distribution, but do not combine the distribution with the quality of the participants

3) The third challenge is because selfish players will increase their own benefits by lying about the offer / ask price

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

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