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. 29, 2025

Filed:

Sep. 12, 2023
Applicant:

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

Inventors:

Pol Llado, Brookline, MA (US);

Lihao Zhang, Quincy, MA (US);

Victor Renjie Fu, New York, NY (US);

Tiancong Zhou, Sammamish, WA (US);

Anirudhan Vijayakanthan, Bellevue, WA (US);

Victor Macêdo Alexandrino, Viçosa-MG, BR;

Ke Wang, Redmond, WA (US);

Ahmed Hassan Mohamed, Bellevue, WA (US);

Kushal Manohar Aurangabadkar, Renton, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06Q 10/1093 (2023.01); H04L 41/50 (2022.01); H04L 41/5009 (2022.01);
U.S. Cl.
CPC ...
H04L 41/5012 (2013.01); G06Q 10/1093 (2013.01); H04L 41/5029 (2013.01);
Abstract

The present disclosure relates to providing personalized service schedule in a computing network for a service provider to provide a service. In particular, the systems described herein utilize signal history of a plurality of users to train a model and to predict a cumulative signal amount for an individual user for a predetermined time frame in the future by drawing inferences from the model. The system described herein further transforms the predicted cumulative signal amounts to activity data and a personalized service schedule for the individual user may be updated based on the predicted activity data. The personalized service schedule may be utilized by disabling the service, or pausing the service or pausing a feature of the service when the predicted activity data indicates that the user is likely to be inactive.


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