Systems and methods for determining accuracy of user-provided data for pages in a social networking system
AssigneeFacebook, Inc.
InventorsSuhel Reto Sheikh, Yu Tao
Life of this patent
Estimating the term…
Abstract
Systems, methods, and non-transitory computer readable media can identify a set of users that satisfy criteria associated with accuracy of claims, wherein each claim is submitted by a user and indicates a value for information associated with a page of a social networking system. A machine learning model can be trained based on training data including claims submitted by the set of users. One or more claims submitted by users can be evaluated based on the trained machine learning model to determine whether values for information associated with pages in the one or more claims are accurate.
Claims20
A computer-implemented method comprising:
- identifying, by a computing system, a set of users that satisfy criteria associated with accuracy of claims, wherein each claim is submitted by a user and indicates a value for information associated with an entity represented in a social networking system;
- training, by the computing system, a machine learning model based on training data including claims submitted by the set of users;
- and
- evaluating, by the computing system, one or more claims submitted by users based on the trained machine learning model to determine whether values for information associated with entities in the one or more claims are accurate.
A system comprising:
- at least one hardware processor;
- and
- a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
- identifying a set of users that satisfy criteria associated with accuracy of claims, wherein each claim is submitted by a user and indicates a value for information associated with an entity represented in a social networking system;
- training a machine learning model based on training data including claims submitted by the set of users;
- and
- evaluating one or more claims submitted by users based on the trained machine learning model to determine whether values for information associated with entities in the one or more claims are accurate.
A non-transitory computer readable medium including instructions that, when executed by at least one hardware processor of a computing system, cause the computing system to perform a method comprising:
- identifying a set of users that satisfy criteria associated with accuracy of claims, wherein each claim is submitted by a user and indicates a value for information associated with an entity represented in a social networking system;
- training a machine learning model based on training data including claims submitted by the set of users;
- and
- evaluating one or more claims submitted by users based on the trained machine learning model to determine whether values for information associated with entities in the one or more claims are accurate.
Dependencies are inferred from the claim text.