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:
Jan. 17, 2023

Filed:

Mar. 27, 2020
Applicant:

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

Inventors:

Shuyao Qi, Redmond, WA (US);

Jakob Anders Moberg, Seattle, WA (US);

Hagar Emma Moshe, Bellevue, WA (US);

Gary Lee Neitzke, Duvall, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/27 (2019.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/27 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

The present disclosure relates to processing operations configured for intelligent management of a synchronization interval usable to synchronize data for an application/service between local data storage and distributed data storage. A classification prediction for a synchronization interval may be generated that is used as prediction for modifying the synchronization interval when a plurality of computing devices, linked to one or more user accounts, are used to access content. For instance, a suggestion is made as to whether a synchronization interval should be made faster, slower or even remain unchanged when a user account is accessing content. This may occur based on analysis of contextual factors described herein, thereby enabling a synchronization prediction component to make a best possible prediction for setting a synchronization interval. Artificial intelligence processing may be trained to generate the classification prediction for a synchronization interval. The classification prediction is utilized to manage modification of synchronization interval.


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