Microsoft Technology Licensing, LLC

Siqi Yang

Wendy Guo

Leanna Holly Robb

Nagendra Kalyan Nanduru

Bichong Li

Feng Zhang

Qi Zhang

Sandeep Seri

Vivek Chauhan

Noelle Renee Beaujon

Jinkai Zhang

Tor Andrew Imsland

Vineet Batta

In non-limiting examples of the present disclosure, systems, methods and devices for surfacing email suggestions are presented. A first user account associated with a composer of an email may be identified. Core working hour and a time zone associated with that first user account may be determined. One or more recipient user accounts included in the email may be identified. Core working hours and a time zone associated with the recipient user accounts may be identified. If more than a threshold number, percentage, and/or ratio of the recipient users is not currently in core working hours when the email is being drafted/sent, a suggestion may be surfaced in association with the email to send the email at a later time when more recipient users are in their core working hours.

Suggested delay delivery of electronic messages

A system and method for computing a metric indicating a user operation of an application is described. The system accesses online activity data of a user operation of the application. The system filters the online activity data based on a preset time range. An after-hours activity score is calculated based on a type of activity or a duration of an activity from the filtered online activity data, and a weight assigned to the type of activity or the duration of the activity. The system computes an after-hours metric based on the after-hours activity score. A configuration setting for the application based on the after-hours metric is applied to the application.

Computation of after-hours activities metrics

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Kirkland, WA, United States of America

Siqi Yang