INFERRING ATTRIBUTES OF ORGANIZATIONS USING MEMBER GRAPH

摘要

In an example embodiment, a member profile corresponding to a member of a social networking service is obtained. Usage information for the member is then obtained, and one or more member metrics are calculated based on the member profile and usage information for the corresponding member. A plurality of features are extracted from the member profile and the one or more member metrics. The plurality of features is inserted into an organization name confidence score model to obtain a confidence score for an organization name in the member profile.

主权项

1. A computer-implemented method 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 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; 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.