Facebook, Inc.

Meta Platforms, Inc.

Tamar Bar Lev

Lydia Han

Christopher Jon Lang

Harshdeep Singh

Daniil Burdakov

Aigerim Shorman

Tanner Cotant Christensen

Pradeep George Mathias

Deepa Diwakar

Noah Bradley Blecher

Crystal Rhan-Tsor Chen

Shupin Mao

Karthik Narayan

Volodymyr Giginiak

Markus Klaus Georg Emrich

An exemplary method of generating content for a user of a social networking service includes, in an application of a social networking service, receiving a classification model from a server system associated with the social networking service. The method further includes generating a collage for a user. The collage includes a set of content items stored on the client device. The method also includes, presenting the collage to the user if the collage satisfies a criterion included in the classification model. The method also includes tracking and providing user-interaction data for the collage to the server system, and receiving an updated classification model from the server system in accordance with the user-interaction data. The method also includes generating and presenting a new collage that includes a new set of content items stored on the client device, if the new collage satisfies the criterion included in the updated classification model.

Methods and systems for generating content for users of a social networking service

An exemplary method of generating content for a user of a social networking service includes, in an application of a social networking service, receiving a classification model from a server system associated with the social networking service. The method further includes detecting content items stored on the client device independently of the application. The method further includes generating content for a user of the social networking service that includes a set of content items from the detected content items, based at least in part on metadata for the set of content items. The metadata is stored at the client device. The method further includes, in accordance with a determination that the generated content for the user satisfies a criterion included in the classification model, presenting the content to the user in the application.

An online system customizes video conversations between users of the online system by providing graphics that are likely to interest the users. The online system may present composite views overlaying selected graphics on a video stream, which may be part of an augmented reality (AR) environment. The graphics include, for example, background graphics, masks, props, visual or particular effects, frames or borders, etc. The online system may use a machine learning model to predict whether a user is likely to select or interact with a particular graphic. The online system can also filter or rank graphics according to user affinities or user connections on the online system. Users may be encouraged to interact with the graphics that are customized to their specific interests, which can promote an engaging video conversation or AR experience.

Video stream customization using graphics

Growing community of inventors

London, United Kingdom

Tamar Bar Lev