Inferring attributes of organizations using member graph

A system comprising:

• a processor;
• a computer-readable medium having instructions stored there on, which, when executed by the processor, cause the system to perform operations comprising:
• obtaining a plurality of sample member profiles, each sample member profile corresponding to a sample member of a social networking service;
• for each of the plurality of sample member profiles:
• obtaining usage information for a corresponding sample member;
• calculating one or more member metrics based on the sample member profile and usage information for the corresponding sample member;
• extracting a first plurality of features from the sample member profile and the one or more member metrics;
• feeding, using a computer, the first plurality of features into a supervised machine learning organization confidence score algorithm to train an organization name confidence score model to calculate a confidence score for a particular member profile indicating a probability that an organization name in the particular member profile is accurate, the supervised machine learning organization confidence score algorithm executed by the computer to implement a supervised machine learning classifier;
• obtaining a member profile corresponding to a member of a social networking service;
• obtaining usage information for the member;
• calculating one or more member metrics based on the member profile and usage information for the corresponding member;
• extracting a second plurality of features from the member profile and the one or more member metrics;
• inputting the second plurality of features into the organization name confidence score model to obtain a confidence score for an organization name in the member profile.

A non-transitory machine-readable storage medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform operations comprising:

• obtaining a plurality of sample member profiles, each sample member profile corresponding to a sample member of a social networking service;
• for each of the plurality of sample member profiles:
• obtaining usage information for a corresponding sample member;
• calculating one or more member metrics based on the sample member profile and usage information for the corresponding sample member;
• extracting a first plurality of features from the sample member profile and the one or more member metrics;
• feeding, using a computer, the first plurality of features into a supervised machine learning organization confidence score algorithm to train an organization name confidence score model to calculate a confidence score for a particular member profile indicating a probability that an organization name in the particular member profile is accurate, the supervised machine learning organization confidence score algorithm executed by the computer to implement a supervised machine learning classifier;
• obtaining a member profile corresponding to a member of a social networking service;
• obtaining usage information for the member;
• calculating one or more member metrics based on the member profile and usage information for the corresponding member;
• extracting a second plurality of features from the member profile and the one or more member metrics;
• inputting the second plurality of features into the organization name confidence score model to obtain a confidence score for an organization name in the member profile.