Invention Grant
- Patent Title: Warning for frequently traveled trips based on traffic
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Application No.: US14081899Application Date: 2013-11-15
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Publication No.: US09631930B2Publication Date: 2017-04-25
- Inventor: Christine B. McGavran , Bradford A. Moore , Gregory D. Bolsinga , Christopher Blumenberg , Seejo K. Pylappan , Marcel van Os
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: APPLE INC.
- Current Assignee: APPLE INC.
- Current Assignee Address: US CA Cupertino
- Agency: Adeli LLP
- Main IPC: B60L3/00
- IPC: B60L3/00 ; B60L15/00 ; G05D1/00 ; G05D3/00 ; G06F7/00 ; G06F17/00 ; G01C21/00 ; G06N5/04 ; G06N99/00 ; G01C21/34 ; G01C21/36

Abstract:
Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.
Public/Granted literature
- US20140278070A1 Warning for Frequently Traveled Trips Based on Traffic Public/Granted day:2014-09-18
Information query
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