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:
Dec. 10, 2019

Filed:

Jun. 30, 2015
Applicant:

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

Inventors:

James Edelen, Renton, WA (US);

Jian Li, New Malden, GB;

John Fitzgerald Bronskill, Cambridge, GB;

John P. Guiver, Saffron Walden, GB;

Kashif Dastgir, Snoqualmine, WA (US);

Saravanakumar Rajmohan, Redmond, WA (US);

Artyom Sadovsky, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 7/02 (2006.01); G06N 20/00 (2019.01); G06N 5/02 (2006.01); G06Q 10/10 (2012.01); G06Q 30/02 (2012.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06Q 10/107 (2013.01); G06Q 30/02 (2013.01);
Abstract

Generating and utilizing personalized predictive models are provided. When an electronic input is received, a generic predictive model is used to predict a user response to the input. After a prescribed period of time, an analysis is performed to determine the user's actual response to the input, as well as, the user's actual responses to other inputs of the same type. Training is performed on the generic predictive model to generate a new and personalized predictive model based on the user's actual responses to the analyzed inputs. The personalized predictive model is then utilized for predicting user response to future inputs of the same type. At a prescribed frequency, the generated personalized predictive model is updated by analyzing actual user responses to predictions provided by the personalized predictive model.


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