Amazon Technologies, Inc.

Manish Rao

Amarsingh Buckthasingh Winston

Rahul Urgaonkar

Satheesh Ramalingam

Mohan Padmanabhan

Adhvik Arun Shetty

Moping Dou

Hargun Kaur

Yongjun Wu

Sitaraman Ganapathy

Mairo Pedrini

Kyle Alexander Woo

Rakesh Tangirala

Tarun Jindal

Systems, methods, and computer-readable media are disclosed for optimizing network performance on a computer device to improve quality of experience by determining which network settings on the computing device to adjust. A clustering algorithm may identify various classes of networks and a classification algorithm may determine a network class specific to a network on a computing device. The effects of certain network settings for that networks class may be determined and the network setting and/or settings that optimizes the network performance may be promoted. The system may periodically analyze network data to recalculate the appropriate networks class and may determine different network settings based on the recalculation, facilitating mid-session improvements to the quality of experience.

Machine learning-based playback optimization using network-wide heuristics

Systems and methods for optimizing network settings

Methods and apparatus are described for providing media presentations that include content originating from multiple sources. Techniques disclosed include server-side logic for inserting secondary content, such as advertisements, into primary content, such as a VOD presentation. Systems implementing the disclosed techniques can support different viewer device capabilities relating to displaying media presentations that include content from multiple sources.

Manifest data for server-side media fragment insertion

Growing community of inventors

Seattle, WA, United States of America

Manish Rao