Facebook, Inc.

John Torres Fremlin

Florin Ratiu

Matthew William Kelly

Aleksandar Ilic

Kunal Nikhil Modi

David S Park

Shashank Pandit

David J Capra

Micha Berdichevsky

Bosmat Mazal Eldar

Georgios Karnas

Michael Curtis

Mike Curtis

In one embodiment, a method includes one or more computing devices ranking multiple users of a social-networking system based on one or more criteria associated with a spotlight content item, wherein the spotlight content item is associated with a node in a social graph associated with the social-networking system, and wherein at least one of the criteria is based on social-networking information for each of the user, verifying the ranked users, wherein the verifying comprises confirming or eliminating each of the ranked users based on recent interactions by the ranked users with social-networking information corresponding to the node associated with the spotlight content item, and sending a notification about the spotlight content item to each of the confirmed users in accordance with a batching protocol, wherein the batching protocol is determined based at least in part on rankings for each of the confirmed users.

Content-based notification delivery

Techniques for social networking systems and methods for testing and applying user interfaces are disclosed herein. The method includes steps of presenting a user interface including a new user interface feature to a group of test users, collecting response data from the test users experiencing the user interface, performing analytics on the response data, and determining at least one interface rule of applying user interface features for a user depending on one or more user attributes of the user based on the analytics using a machine learning model.

Adaptive user interface using machine learning model

In one embodiment, a method includes accessing for a user one or more electronic notifications that include information about a social network. The social network includes a plurality of nodes connected by a plurality of edges, with at least one node corresponding to the user. The method further includes determining, for each of the electronic notifications, a score that estimates whether a user interaction with the social network will result if the electronic notification is provided to the user. The method further includes determining, based at least in part on the determined scores, an action to take with respect to the electronic notifications.

Electronic notifications

Systems, methods, and non-transitory computer-readable media receive a source video having a source file size. A bit rate at which to encode the source video is determined. The source video is encoded at the determined bit rate to produce an encoded video having a file size less than the source file size. A video quality metric for the encoded video is determined. Whether or not the video quality metric for the encoded video is within an allowable deviation from a target quality metric is determined. The source video is encoded at another determined bit rate when the video quality metric for the encoded video is outside the allowable deviation from the target quality metric. Determining the bit rate and encoding the source video at the determined bit rate can repeat iteratively until the video quality metric for the encoded video is within the allowable deviation from the target quality metric.

Systems and methods for enhanced video encoding

Techniques to confirm account registration. In one embodiment, an MSISDN associated with a mobile device is received. It is determined whether to confirm registration of an account with a social networking system based at least in part on the MSISDN. Receipt of the MSISDN may include receipt of an HTTP request. The HTTP request may include an HTTP header with the MSISDN and a phone number associated with the mobile device. The MSISDN and the phone number may be compared. Registration may be confirmed based on a match between the MSISDN and the phone number.

Growing community of inventors

Walnut, CA, United States of America

John Torres Fremlin