Microsoft Technology Licensing, LLC

Nithin Adapa

Xiaoyu Chai

Steve K Lim

Logan Ringer

Connie Qin Yang

Matthew Scott Rosoff

Colin Ray Anthony

Ravi Gupta

Hanna Mclaughlin

Jeffrey Scott Petty

Srinivas Chakravarthula

Peter E Hammerqist

Martin A Mcclean

Gabriel S Martinez

Man Hei Julia Wong

Jason P Howard

Cindy Moline

Various embodiments discussed herein are directed to improving existing technologies by enabling users to share content items directly from an operating system component, with little to no user interface input requirements at the underlying communications application. For instance, some embodiments receive an indication that a mouse pointer is hovering over an operating system taskbar icon and automatically produce a flyout window so that a user can share a currently opened application page to other users via a selection of a button within the flyout window. Such application page may be shared via a single selection at the flyout window or an additional 'are you sure' or confirmation step. In this way, excessive drilling, navigation, and other user input at the application is reduced and simplified, thereby improving the user experience, content sharing accuracy, and computer resource consumption, among other improvements.

Operating system facilitation of content sharing

Systems and methods directed to generating a predicted quality metric are provided. Telemetry data may be received from a from a first group of devices executing first software. A quality metric for the first software may be generated based on the first telemetry data. Telemetry data from a second group of devices may be received, where the second group of devices is different from the first group of devices. Covariates impacting the quality metric based on features included in the first telemetry data and the second telemetry data may be identified, and a coarsened exact matching process may be performed utilizing the identified covariates to generate a predicted quality metric for the first software based on the second group of devices.

Feature deployment readiness prediction

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Seattle, WA, United States of America

Nithin Adapa