The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 09, 2024

Filed:

Aug. 11, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

David Mowatt, Dalkey, IE;

Venkat Pradeep Chilakamarri, Seattle, WA (US);

Ramesh Thimmarajarasu Bangalore, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06F 16/2455 (2019.01); G06F 16/28 (2019.01); G06Q 10/067 (2023.01); G06Q 10/105 (2023.01); G06Q 30/018 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0204 (2023.01); G06Q 10/04 (2023.01); G06Q 10/0639 (2023.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/067 (2013.01); G06F 16/24556 (2019.01); G06F 16/285 (2019.01); G06Q 10/105 (2013.01); G06Q 30/0185 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0205 (2013.01); G06Q 10/04 (2013.01); G06Q 10/06395 (2013.01); G06Q 50/265 (2013.01);
Abstract

Systems and methods for optimizing application experiences on devices in an enterprise while maintaining privacy compliance are provided. An enterprise model management service of the enterprise accesses, from a centralized software service, a model comprising one or more rules to be applied to an application. The model is provided to devices of a first cohort, whereby a rule of the model causes an action associated with the application to occur at each device. User metrics associated with the action at each device of the first cohort is aggregated. The user metrics indicate a result of the action at each device. The aggregated user metrics are analyzed, whereby the analyzing includes determining a second cohort at the enterprise. The model is then provided to devices of at least a portion of the second cohort. No user metrics are returned to the centralized software service thus maintaining privacy compliance.


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