Patent Document ID: 10043040
Application ID: 15224309
Patent Flag: 1

Claim One:
1. A method for protecting against incorrect confidential data values in a computer system, the method comprising: in a training phase: obtaining a plurality of sample labeled submitted confidential data values; for each of the plurality of sample labeled submitted confidential data values: extracting one or more features from member profile and member usage information corresponding to a member, of a social media service, who submitted the sample confidential data value; feeding the extracted one or more features into a supervised machine learning algorithm to train a confidential data value quality score model based on the extracted one or more features; in a quality scoring phase: receiving first confidential data from a first member of the social media service; retrieving member profile and member usage information for the first member of the social media service; extracting the one or more features from the member profile and member usage information for the first member; passing the extracted one or more features from the member profile and member usage information for the first member to the confidential data value quality score model to generate a quality score for the first confidential data value; and removing the first confidential data value when the quality score for the first confidential data value indicates that the first confidential data value is incorrect.