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:
Mar. 22, 2022

Filed:

Mar. 18, 2019
Applicant:

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

Inventors:

Cheng Cao, Sammamish, WA (US);

Bo Hyon Moon, Seattle, WA (US);

Jayadev Pillai, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 9/451 (2018.01); G06N 7/00 (2006.01); G06F 17/18 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3438 (2013.01); G06F 9/451 (2018.02); G06F 11/3447 (2013.01); G06F 11/3452 (2013.01); G06F 17/18 (2013.01); G06N 3/0445 (2013.01); G06N 7/005 (2013.01); G06F 2201/865 (2013.01);
Abstract

Examples described herein generally relate to a computer device including a memory, and at least one processor configured to evaluate a change to a user interface. The computer device monitor user interactions with the user interface prior to and after a change to the user interface. The monitoring includes collecting result metric data per user. The computer device divides users into a treated group and a control group based on whether each user engages in a particular interaction. The computer device generates a result metric time series for the treated group and a partitioned result metric time series for the control group. The computer device estimates a conditional distribution of the result metric and a counterfactual behavior using a Bayesian machine learning model based on the result metric time series. The computer device determines a treatment effect of the change to the user interface on the result metric data.


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