A self-generation method for crowdsourcing collaborative iterative tasks

Abstract

The present invention provides a self-generation method for crowdsourcing collaborative iterative tasks. The method firstly automatically distributes the tasks in the form of fill-in-the-blank questions for the first time, then redistributes the recovered results in the form of judgment questions and aggregates the results, and finally sorts the aggregated results. After screening and screening, iterative tasks are generated again in the form of multiple-choice questions, and the task results are finally obtained. The method provided by the invention ensures that the scope of extracting questions is as wide as possible when generating questions, so as to reduce costs; moreover, it solves the problem of high repetition rate of task content, and at the same time increases process control to improve the quality of task results.

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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