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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 11113604 B1

PDFFull Text
Date of Patent:
Sep. 07, 2021

Filed:

Nov. 16, 2017

Training and/or utilizing an interaction prediction model to determine when to interact, and/or prompt for interaction, with an application on the basis of an electronic communication

Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Sebastian Millius, Zurich, CH;

Tom Hume, San Francisco, CA (US);

Matthew Sharifi, Kilchberg, CH;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:

Middleton Reutlinger

Primary Examiner:

Mahelet Shiberou

Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06Q 10/10 (2012.01); H04L 12/58 (2006.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); H04M 1/72403 (2021.01); H04M 1/72484 (2021.01); G06F 40/169 (2020.01); H04M 1/72436 (2021.01); H04M 1/72451 (2021.01); H04M 1/72454 (2021.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06Q 10/107 (2013.01); H04L 51/046 (2013.01); H04L 51/34 (2013.01); H04M 1/72403 (2021.01); H04M 1/72484 (2021.01); G06F 40/169 (2020.01); H04M 1/72436 (2021.01); H04M 1/72451 (2021.01); H04M 1/72454 (2021.01);
Abstract

Training and/or utilizing an interaction prediction model to generate a predicted interaction value that indicates a likelihood of interaction with a corresponding application on the basis of an electronic communication. The application can be in addition to any electronic communication application that is utilized in formulating the electronic communication and/or that is utilized in rendering the electronic communication. The predicted interaction value can be generated based on processing, utilizing the interaction prediction model, of features of the electronic communication and/or of other features. The predicted interaction value can be utilized to determine whether to perform further action(s) that interact with, and/or enable efficient interaction with, the application on the basis of the electronic communication.

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