Facebook, Inc.

Meta Platforms, Inc.

Eric Hsin-Chun Huang

Abhishek Bapna

Shuo Li

Li Ju

Zhen Li

Cassidy Jake Beeve-Morris

Yuan Liang

Yun Liu

Chang Su

Asad K Awan

Weitong Liu

Menghan Li

Xiaokai Wei

A social networking system allows users to create and join groups in the social networking system, in which each group is associated with one or more interests shared by members of the group. To select content for presentation to a viewing user of the social networking system who is a member of a group, the social networking system may determine one or more topics associated with the group based at least in part on a classification system and on information associated with objects maintained in the social networking system that are similar to the group. The topic(s) associated with the group also may be determined based on information associated with the group, with members of the group, and/or with objects associated with the group. The social networking system may then select one or more content items associated with the topic(s) for presentation to the viewing user via a group page.

Selecting content for presentation to a user of a social networking system based on a topic associated with a group of which the user is a member

An online system receives a request for a video to be presented by the online system to a target user. The online system determines whether to insert secondary content into the video. For such a determination, the online system identifies a position in the video for inserting secondary content. Further, the online system determines a loss score and a gain score. The loss score measures a loss of interaction by the target user if the secondary content were inserted. The gain score includes a monetary compensation to be received by the online system for inserting the secondary content at the identified position. The online system compares the loss score and the gain score. Based on the gain score offsetting the loss score, the online systems modifies the video by inserting the secondary content at the identified position and provides the modified video for display to the target user.

Inserting secondary content into primary content presented by an online system

Systems, methods, and non-transitory computer readable media can obtain dynamic signals associated with content items. A machine learning model can be trained based on the dynamic signals associated with the content items. A classification for a content item can be determined based on the machine learning model.

Systems and methods for classifying content items based on dynamic signals

An online system receives host content items and supplementary content items to be presented in conjunction with one another. In embodiments, the online system receive an allocation of display instances of supplementary content items with host content items during a time interval. For a host content providers, the online system receives a count of display instances of supplementary content items in conjunction with host content items. The online system determines a content quality score based on user interactions with content from the host content provider and a count of display instances for host content items presented in conjunction with supplementary content items for a preceding time interval. The online system determines a content quality threshold based and, for host providers with content quality scored below the threshold, presents host content items in conjunction with supplementary content items to a user.

Distribution of embedded content items by an online system

The present disclosure is directed toward systems and methods for dynamically providing digital content to client devices at different insertion points of a digital video based on predicted total value of inserting the digital content and predicted engagement loss of inserting the digital content. For example, system and methods described herein determine that an insertion point is approaching in an actively playing digital video. In response, systems and methods identify digital content for insertion at the insertion point. In one or more embodiments, the described systems and methods insert the identified digital content by comparing the predicted total value of inserting the digital content at the insertion point of the digital video and a predicted engagement loss associated with inserting the digital content at the insertion point of the digital video.

Dynamically providing digital content to client devices by analyzing insertion points within a digital video

Growing community of inventors

Foster City, CA, United States of America

Eric Hsin-Chun Huang