Meta Platforms Technologies, LLC

Facebook Technologies, LLC

Eric Xiao

Lisa Xiaoyi Huang

Francislav Petrov Penov

Xiaohu Liu

Honglei Liu

Yating Sheng

Zijian He

Rui Shao

Animesh Sinha

Nicholas Michael Andrew Benson

In one embodiment, a method includes receiving a user input from a first user from a client system associated with the first user, determining one or more products of interest to the first user based on one or more machine-learning models and the user input, accessing social data associated with the one or more products of interest from a data store, wherein the social data comprises social signals or content objects associated with one or more second users, each second user being within a threshold degree of separation of the first user within a social graph, generating one or more social summaries associated with the one or more products of interest based on the accessed social data, and sending instructions for presenting the one or more social summaries of the one or more products of interest to the client system.

Method, one or more computer-readable non-transitory storage media, and a system for generating comprehensive information for products of interest by assistant systems

In one embodiment, a method includes maintaining a reminder store comprising one or more reminders for a first user, wherein each reminder is associated with an initial activation-condition, determining a context associated with the first user based on signals from a client system associated with the first user, determining a suppression-condition associated with at least one of the reminders is met based on the context, and suppressing the at least one reminder for the first user.

Suppressing reminders for assistant systems

In one embodiment, a method includes receiving a user request including an ambiguous mention to create a reminder from a client system associated with a user, disambiguating the mention to identify a first entity referenced in the mention, wherein the first entity is identified based on user profile data associated with the user, determining an activation condition associated with the user request, wherein the activation condition is based on one or more of a time or a location referenced in the user request, wherein the time and/or location are determined based on contextual information associated with the user request, generating the reminder based on the first entity and the activation condition, and sending instructions to the client system for presenting the reminder when the activation condition is satisfied.

Generating smart reminders by assistant systems

In one embodiment, a method includes receiving a user input from a user from a client system associated with the user, wherein the client system comprises one or more cameras, determining one or more points of interest in a field of view of the one or more cameras based on one or more machine-learning models and sensory data captured by the one or more cameras, generating a plurality of media files based on the one or more points of interest, wherein each media file is a recording of at least one of the one or more points of interest, generating one or more highlight files based on the plurality of media files, wherein each highlight file comprises a media file that satisfies a predefined quality standard, and sending instructions for presenting the one or more highlight files to the client system.

Smart cameras enabled by assistant systems

Growing community of inventors

Berkeley, CA, United States of America

Eric Xiao