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:
Jun. 09, 2020

Filed:

May. 31, 2019
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Balaji Ramachandran, Campbell, CA (US);

Collin D. Ruffenach, Portland, OR (US);

Feng Yi, San Jose, CA (US);

Guillermo Ortiz, Mountain View, CA (US);

Jean S. Metz, Sunnyvale, CA (US);

Christopher S. Schepman, Portland, OR (US);

Casey M. Dougherty, San Francisco, CA (US);

Martin J. Murrett, San Francisco, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/16 (2019.01); H04L 29/08 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
H04L 67/22 (2013.01); G06F 11/3438 (2013.01); G06F 11/3447 (2013.01);
Abstract

In some implementations, a server device can segment users based on user engagement with an application on a user device. For example, server device can receive user event data from many user devices indicating user activities with respect to the application and/or content presented by the application. The server device can generate user engagement segments based on the received user event data. The server device can generate predictive models for each user engagement segment based on the received user event data. The server device can determine which particular user engagement segments a particular user is associated with based on user event data associated with the particular user and/or the predictions generated by the predictive models. The application on the user device associated with the particular user can then be configured according to the user engagement segments associated with the particular user.


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