Systems and methods for classifying content items based on user comments
AssigneeFacebook, Inc.
InventorsUmut Ozertem, Ying Zhang
Life of this patent
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Abstract
Systems, methods, and non-transitory computer readable media can determine a relationship type between a first content item and a second content item based on a comment associated with at least one of the first content item and the second content item. A machine learning model can be trained based on the first content item, the second content item, and the determined relationship type. A related content item of a content item can be determined based on the machine learning model.
Claims20
A computer-implemented method comprising:
- determining, by a computing system, a relationship type between a first content item and a second content item based on a comment associated with at least one of:
- the first content item or the second content item, wherein the determined relationship type is at least one of a plurality of relationship types including a similar viewpoint, a different viewpoint, and an alternative viewpoint;
- training, by the computing system, a machine learning model based on the first content item, the second content item, and the determined relationship type;
- and
- determining, by the computing system, a related content item of a content item by the machine learning model based on a ranking of the plurality of relationship types between the related content item and the content item.
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:
- determining a relationship type between a first content item and a second content item based on a comment associated with at least one of the first content item and the second content item, wherein the determined relationship type is at least one of a plurality of relationship types including a similar viewpoint, a different viewpoint, and an alternative viewpoint;
- training a machine learning model based on the first content item, the second content item, and the determined relationship type;
- and
- determining a related content item of a content item by the machine learning model based on a ranking of the plurality of relationship types between the related content item and the content item.
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:
- determining a relationship type between a first content item and a second content item based on a comment associated with at least one of the first content item or the second content item, wherein the determined relationship type is at least one of a plurality of relationship types including a similar viewpoint, a different viewpoint, and an alternative viewpoint;
- training a machine learning model based on the first content item, the second content item, and the determined relationship type;
- and
- determining a related content item of a content item by the machine learning model based on a ranking of the plurality of relationship types between the related content item and the content item.
Dependencies are inferred from the claim text.