Facebook, Inc.

Meta Platforms, Inc.

Ehud Weinsberg

Bogdan State

Thomas Frederick Dimson

Amaç Herdagdelen

Danilo Torres De Sa Resende

Bai Xiao

Maxime Boucher

Amaç Herda{umlaut Over (g)}delen

Systems, methods, and non-transitory computer-readable media can acquire a set of labels associated with a set of content items. Each label in the set of labels can be associated with at least one content item in the set of content items. It can be determined that at least two labels, out of the set of labels, are related. The at least two labels can be determined to be related based on at least one of a co-occurrence metric associated with the at least two labels or a topic similarity metric associated with the at least two labels. One label can be selected, out of the at least two labels, as being representative of the at least two labels.

Systems and methods for identifying and grouping related content labels

Systems, methods, and non-transitory computer readable media configured to acquire data associated with a content item, the data associated with the content item including contextual information. The data associated with the content item can be provided to a model trained by machine learning. A set of hashtags associated with the content item can be determined based on the model.

Systems and methods to predict hashtags for content items

Growing community of inventors

Menlo Park, CA, United States of America

Ehud Weinsberg