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PREDICTING PSYCHOMETRIC PROFILES FROM BEHAVIORAL DATA USING MACHINE-LEARNING WHILE MAINTAINING USER ANONYMITY
PREDICTING PSYCHOMETRIC PROFILES FROM BEHAVIORAL DATA USING MACHINE-LEARNING WHILE MAINTAINING USER ANONYMITY
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机译:在保持用户匿名的情况下使用机器学习从行为数据中预测心理特征
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摘要
A method and system provides for: training at least one machine-learning method of predicting psychometric profiles of individual users in an online population based on automatically collected records of their online behavior; using the resulting predicted psychometric profiles and engagement data on users to learn an engagement model of likelihood of engaging with a stimulus based on psychometric dimensions; and using the engagement model on a population to determine audiences for the stimulus ranked according to predicted likelihood of engagement. The method and system are able to maintain anonymity of the users.
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