Microsoft Technology Licensing, LLC

Gregory Bershansky

Sanjay Garg

Anil Mehra

Christian D Molnar

Cenk Ergan

Jason Joseph Weber

Paul J Roy

Meir Shmouely

Omer Rosenbaum

M David Fields, Jr

Michael D Decker

Matthew P Kotsenas

Aaron Rodriguez Hernandez

Dinko Bajric

Alex Polak

Yuval Peled

Yi Ming Zhou

Kieran Chin Cheong

Kelly Laurence Ford

M David Fields

Variety of approaches to optimize a feature deployment based on an usage pattern are described. A hosted service initiates operations to optimize the feature deployment upon detecting a feature update associated with an application. Next, a target audience for the feature update is identified by processing an usage pattern signal of the application based on information update and an organizational rule associated with the feature update. The feature update is deployed to the target audience.

Optimizing feature deployment based on usage pattern

Various embodiments pertain to techniques for decreasing an amount of time to a browser onload event by asynchronously loading web page content. In various embodiments, frames are utilized to trigger an onload event before all content in a web page is loaded. In some embodiments, various components of the web page, such as advertisements, are provided in frames, and the loading of the components is triggered by an onload event of the frame. In other words, an empty frame can be provided for the purposes of triggering both a frame onload event and an onload event for the web page. The frame onload event can cause a page script to be executed effective to load the components into the frames. In some embodiments, two or more nested frames are utilized to provide asynchronous loading of web page components while maintaining compatibility of the advertisement or multimedia items and the web page.

Reducing ad impact to browser onload event

Various embodiments provide approaches for measuring the rendering times of a webpage that can be browser-independent. In at least some embodiments, as a web page is rendered, video data of the webpage is captured and analyzed to ascertain when the webpage, or portions thereof, have likely been completely rendered. In at least some embodiments, image processing can be performed on captured video data to ascertain, from observed pixel changes over time, when the webpage has likely been rendered.

Measuring web page rendering time

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Sammamish, WA, United States of America

Gregory Bershansky