众包市场中的辍学预测
Dropout Prediction in Crowdsourcing Markets
摘要:
众包环境已经显示出在有限的成本和时间内解决不同任务的前景。这种类型的商业模式涉及专家和非专家工人。有趣的是,这种模式的成功取决于工人总数的数量。但是,适者生存决定了这些工人的稳定性。在这里,我们表明,人群中的工人谁没有赢得工作,先后松散的兴趣,并可能随着时间的推移辍学。因此,在这样的环境中的辍学预测是一个很有前途的任务。在本文中,我们建立了它是可能的预测辍学在众包市场的成功率的基础上到达模式的工人。
英文摘要:
Crowdsourcing environments have shown promise in solving diverse tasks in limited cost and time. This type of business model involves both the expert and non-expert workers. Interestingly, the success of such models depends on the volume of the total number of workers. But, the survival of the fittest controls the stability of these workers. Here, we show that the crowd workers who fail to win jobs successively loose interest and might dropout over time. Therefore, dropout prediction in such environments is a promising task. In this paper, we establish that it is possible to predict the dropouts in a crowdsourcing market from the success rate based on the arrival pattern of workers.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。