功能工厂:众包功能发现

K. Veeramachaneni, Kiarash Adl, Una-May O’Reilly
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引用次数: 6

摘要

我们研究了开发模型的工程特征过程,这些模型可以提高我们对mooc中学习者在线行为的理解。因为特征工程在很大程度上依赖于人类的洞察力,我们让人们参与特征建议和如何操作它们的指导。当我们在预测停停的背景下检查我们的众包特征时,它们不仅令人印象深刻地细致入微,而且还集成了学习器和平台之间的多种交互模式,并描述了学习器的相对表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature Factory: Crowd Sourced Feature Discovery
We examine the process of engineering features for developing models that improve our understanding of learners' online behavior in MOOCs. Because feature engineering relies so heavily on human insight, we engage the crowd for feature proposals and guidance on how to operationalize them. When we examined our crowd-sourced features in the context of predicting stopout, not only were they impressively nuanced, but they also integrated more than one interaction mode between the learner and platform and described how the learner was relatively performing.
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