Microsoft Corporation
Inferred profiles on online social networking systems using network graphs
Last updated:
Abstract:
An online social networking system collects data relating to members, and clusters the data into a plurality of clusters. The system identifies anomalous activity by a member in a cluster, and predicts an update to a profile of the member based on the identified anomalous activity of the member. The system presents to the member a proposed update to the profile of the member based on the prediction, receives input from the member in response to the proposed update, and updates the profile of the member based on the input received from the member.
Status:
Grant
Type:
Utility
Filling date:
28 Mar 2018
Issue date:
21 Dec 2021