Abstract: 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.

Abstract: In one embodiment, a method includes accessing, from a data store of the communication network, user information associated with a first user of the communication network, identifying one or more entities associated with the communication network that are relevant to the first user based on the user information, and retrieving, for each identified entity, one or more content frames associated with the entity. The method includes ranking the one or more content frames based on the user information. The method also includes sending, to a client device of the first user, one or more of the content frames for display to the first user in ranked order, wherein each content frame is selectable by the first user to display the selected content frame in association with a particular content item for a specified period of time.

Abstract: 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.

Abstract: 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.

Abstract: In one embodiment, a method includes accessing, from a data store of the communication network, user information associated with a first user of the communication network, identifying one or more entities associated with the communication network that are relevant to the first user based on the user information, and retrieving, for each identified entity, one or more content frames associated with the entity. The method includes ranking the one or more content frames based on the user information. The method also includes sending, to a client device of the first user, one or more of the content frames for display to the first user in ranked order, wherein each content frame is selectable by the first user to display the selected content frame in association with a particular content item for a specified period of time.