A Crowdsourcing Labeling Task Assignment Method for the Disabled Community

Abstract

The invention belongs to the technical field of crowdsourcing labeling, and specifically relates to a crowdsourcing labeling task allocation strategy for disabled communities; the strategy combines automatic allocation with manual allocation and mixed active claiming to complete the allocation of labeling tasks. The proposed allocation strategy models crowdsourcing labeling tasks and disabled workers, and builds a crowdsourcing labeling task pool for the disabled community. The beneficial effects of the present invention are: effectively avoiding the problem of repeated assignment of the same task, reducing the waste of disabled labor; assigning a certain amount of basic workload to the disabled who participate in crowdsourcing labeling workers, and at the same time satisfying a certain degree of overwork have to.

Description

technical field [0001] The present invention relates to the technical field of task assignment, in particular to a strategy for assigning crowdsourced tagging tasks to disabled communities. Background technique [0002] At present, the development of the crowdsourcing model provides an important channel for the employment of the disabled. The traditional crowdsourcing task assignment method has many shortcomings for special groups such as the disabled community and solving the employment problem of the disabled. First, labor is wasted. Many traditional crowdsourcing platforms have adopted the method of independently receiving tasks, that is, when a task is posted on the crowdsourcing platform, crowdsourcing workers can choose the task they are interested in to complete by viewing the list of all tasks, and Crowdsourcing workers can choose to complete the task before it is completed, which causes many people to do the same task at the same time, and only some crowdsourcing ...

AI Technical Summary

Problems solved by technology

If the labeling speed of the disabled is slow, the number of completed labeling tasks is too small and the remuneration received is very small, it will seriously affect their enthusiasm for participating in crowdsourcing labeling work, and at the same time, it is necessary to meet a certain degree of overwork for capable disabled people Much demand

Again, the group advantages of the disabled cannot be fully utilized

While working through the Internet, disabled people also use it as a social media, forming close social relationships and online communities online and offline. Their group consciousness is stronger and they have more social capital than other groups. The traditional crowdsourcing task assignment is based on decentralized independent individuals, and does not take advantage of the higher social capital of the disabled

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