Crowdsourcing collaborative iteration task self-generation method

Abstract

The invention provides a crowdsourcing collaborative iterative task self-generation method, which comprises the following steps of: firstly, automatically distributing tasks for the first time in theform of blank filling questions, then distributing recycled results again in the form of judgment questions and gathering the results, and finally, sorting and screening the gathered results, and generating iterative tasks again in the form of selection questions, and finally, obtaining a task result. According to the method provided by the invention, the extraction range of the questions is as wide as possible when the questions are generated, so that the cost is reduced; the problems of high task content repetition rate and the like are solved, and process control is added to improve the task result quality.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a self-generation method for crowdsourcing collaborative iterative tasks. Background technique [0002] Crowdsourcing activities began to rise along with the development and application of the Internet. The "Wick business model" proposed by domestic scholars in 2055 was the first to explain the phenomenon of crowdsourcing. American journalist Howe proposed the "crowdsourcing" business development model in 2006. Their definitions of "crowdsourcing" are similar, which means that some of the tasks once completed by employees in the company are now transferred to the public, and they begin to rely on the power of the public to complete a certain task or work. That is, businesses use the Internet to distribute work, discover ideas, or solve technical problems. [0003] At present, crowdsourcing has a wide range of applications, such as image recognition, semantic annotation, image ...

AI Technical Summary

Problems solved by technology

[0010] When using traditional iterative task generation technology to obtain task results, there is often a situation where task content is repeatedly extracted. In this way, on the one hand, the quality and efficiency of iterative task results will decrease, and on the other hand, task costs will increase.

[0011] (2) Solve the problem of the decline in the quality of results due to worker factors during task execution

[0012] Due to the heterogeneity of the collaborative workers themselves, there are behaviors such as lack of ability, inefficiency, or deceit when completing the assigned tasks, resulting in low-quality task results

Eliminate the screening of workers in task allocation, how to judge the quality of workers' work in task execution, and prevent the quality of the final result of the task from declining

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