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Machine-learning-based systems and methods for quality detection of digital input
Machine-learning-based systems and methods for quality detection of digital input
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机译:基于机器学习的数字输入质量检测系统和方法
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摘要
Systems and methods for assessing and maintaining the quality, validity, and/or accuracy of digital participant input are provided. Methods may include capturing session data via a computing device, building a set of metrics based on the session data, deriving a set of characteristic scores, generating a set of classifications based on the set of characteristic scores, and displaying the set of classifications on a user interface (“UP”) that is associated with a session administrator. The set of classifications may include a flag for rejecting a session and/or a participant when the set of characteristic scores includes a score that is outside a predetermined threshold.
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