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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.

Patent No.:

US 11663220 B1

PDFFull Text
Date of Patent:
May. 30, 2023

Filed:

Jan. 18, 2018

Machine learning based prediction of outcomes associated with populations of users

Applicant:

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

Inventors:

Chih Po Wen, Redwood City, CA (US);

Goutham Kurra, San Francisco, CA (US);

Assignee:

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

Attorney:

Schwegman Lundberg & Woessner, P.A.

Primary Examiner:

Ann J Lo

Assistant Examiner:

Van C Mang

Int. Cl.
CPC ...
G06F 16/245 (2019.01); G06F 9/451 (2018.01); G06N 20/00 (2019.01); G06F 16/907 (2019.01); G06F 16/2457 (2019.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 9/451 (2018.02); G06F 16/907 (2019.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01);
Abstract

A system analyzes periodically collected data associated with entities, for example, users, servers, or systems. The system determines anomalies associated with populations of entities. The system excludes anomalies from consideration to increase efficiency of execution. The system may rank the anomalies based on relevance scores. The system determines relevance scores based on various factors describing the sets of entities. The system may present information describing the anomalies based on the ranking. The system may use a machine learning based model for predicting likelihoods of outcomes associated with sets of entities. The system generates alerts for reporting the outcomes based on the predictions.

Find Patent Forward Citations

Wen, Chih. (2023). Machine learning based prediction of outcomes associated with populations of users (U.S. Patent No. 11663220). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11663220

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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