Meta Platforms, Inc.

Rakesh Ravuru

Aliasgar Mumtaz Husain

Keenan Christopher Pridmore

Ankur Gupta

Brian Fox

Siqi Huang

Xin Zhou

Miguel Angel Perez

Rotem Druker

Tatiana Borrell Peck

Lara Jessamine Andrews

Nikhil Girish Nawathe

Adetunji Toritseju Olojede

Siyi Wang

Robert Thomas Moakler

Clayton Allen Andrews

Shubham Bansal

Hoang Viet Nguyen

Kyle Scot Shank

According to examples, a system for identifying target users in a content item from a first location and distributing the content item to a second location may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive information associated with a content item published in a first location and receive information associated with a target user associated with the content item. The processor may further determine, based on the information associated with the content item and the information associated with the target user, if the content item should be distributed to a second location. The processor may then prepare the content item for distribution to the second location and distribute the content item to the second location to publish a distributed content item.

Target user identification and management of distributed and published content

According to examples, a system for generating and delivering enhanced content utilizing remote rendering and data streaming is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to transmit a selected engagement content item for transmission to a user device and receive an indication of interest relating to the selected engagement content item. The processor, when executing the instructions, may then select, based on the received indication of interest, an enhanced content item, process the enhanced to content item to generate a stream of content data associated with the enhanced content item and transmit the stream of content data associated with the enhanced content item to the user device.

Generation and delivery of content via remote rendering and data streaming

Systems, methods, and non-transitory computer-readable media can determine a set of candidate values for a field in a page. The set of candidate values can be evaluated for accuracy based at least in part on a machine learning model, wherein the machine learning model outputs a respective score for each candidate value that measures an accuracy of the candidate value for the field in the page. A best scoring candidate value can be determined from the set of candidate values. The field in the page can be associated with the best scoring candidate value.

Systems and methods for evaluating page content

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Santa Clara, CA, United States of America

Rakesh Ravuru