论文标题
验证心理测量调查反应
Validating psychometric survey responses
论文作者
论文摘要
我们提出了一种通过使用机器学习技术在调查响应中对用户有效性进行分类的方法。该方法是基于收集用户鼠标在Web服务器上的活动，并在没有分析特定答案的情况下一般可以进行调查的快速预测有效性。考虑基于规则的方法，LSTM和HMM模型。该方法可以在网络调查应用程序中使用，以检测可疑用户的行为，并要求他们正确回答，而不是错误的数据记录。
We present an approach to classify user validity in survey responses by using a machine learning techniques. The approach is based on collecting user mouse activity on web-surveys and fast predicting validity of the survey in general without analysis of specific answers. Rule based approach, LSTM and HMM models are considered. The approach might be used in web-survey applications to detect suspicious users behaviour and request from them proper answering instead of false data recording.
