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. 19, 2024

Filed:

Jan. 21, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Christine B. McGavran, Pacifica, CA (US);

Bradford A. Moore, San Francisco, CA (US);

Gregory D. Bolsinga, San Francisco, CA (US);

Michael P. Dal Santo, San Francisco, CA (US);

Lukas Marti, San Jose, CA (US);

Seejo K. Pylappan, Cupertino, CA (US);

Marcel van Os, San Francisco, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G01C 21/36 (2006.01); G06N 5/022 (2023.01); G06N 20/00 (2019.01); G06Q 10/109 (2023.01); H04L 67/02 (2022.01); H04L 67/10 (2022.01); H04L 67/50 (2022.01); H04L 67/52 (2022.01); H04W 4/02 (2018.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G01C 21/3617 (2013.01); G01C 21/362 (2013.01); G01C 21/3691 (2013.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06Q 10/109 (2013.01); H04L 67/02 (2013.01); H04L 67/10 (2013.01); H04L 67/52 (2022.05); H04L 67/535 (2022.05); H04W 4/025 (2013.01);
Abstract

A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.


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