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Protecting against fraud and incorrect entries in submission of confidential data

机译:防止欺诈和在提交机密数据时输入错误

摘要

In an example embodiment, a method for protecting against incorrect confidential data values in a computer system is provided. A machine learning algorithm is used to train a confidential data value quality score based on metrics extracted from member profile and member usage information in a social networking service. The confidential data value quality score model is then used to output an estimated quality score for submitted confidential data values.
机译:在示例实施例中,提供了一种用于防止计算机系统中的不正确机密数据值的方法。机器学习算法用于基于从社交网络服务中的成员个人资料和成员使用信息中提取的指标来训练机密数据值质量得分。然后,机密数据值质量得分模型用于为提交的机密数据值输出估计的质量得分。

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