View source for 18336800. DETERMINING A SIGNIFICANT USER LOCATION FOR PROVIDING LOCATION-BASED SERVICES simplified abstract (APPLE INC.)

=DETERMINING A SIGNIFICANT USER LOCATION FOR PROVIDING LOCATION-BASED SERVICES=


==Organization Name==

[[:Category:APPLE INC.|APPLE INC.]]


[[Category:APPLE INC.]]

==Inventor(s)==

[[:Category:Michael P. Dal Santo of San Francisco CA (US)|Michael P. Dal Santo of San Francisco CA (US)]][[Category:Michael P. Dal Santo of San Francisco CA (US)]]

[[:Category:Lukas M. Marti of Santa Clara CA (US)|Lukas M. Marti of Santa Clara CA (US)]][[Category:Lukas M. Marti of Santa Clara CA (US)]]

[[:Category:Ronald K. Huang of San Jose CA (US)|Ronald K. Huang of San Jose CA (US)]][[Category:Ronald K. Huang of San Jose CA (US)]]

[[:Category:Lili Cao of Sunnyvale CA (US)|Lili Cao of Sunnyvale CA (US)]][[Category:Lili Cao of Sunnyvale CA (US)]]

==DETERMINING A SIGNIFICANT USER LOCATION FOR PROVIDING LOCATION-BASED SERVICES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18336800 titled 'DETERMINING A SIGNIFICANT USER LOCATION FOR PROVIDING LOCATION-BASED SERVICES

==Simplified Explanation==

The patent application describes a system, methods, and program products for providing services to a user based on their daily routine of movement using a mobile device.

* The mobile device determines significant locations for the user based on hints indicating their interest in certain locations.
* Adaptive clustering is used to determine the size of the significant location area based on the convergence of multiple locations.
* Location-based services are provided for calendar items, including predicting the time of arrival at an estimated location.
* Various services related to the mobile device's location or the user's significant location can be accessed through an application programming interface (API).

==Potential Applications==
* Personalized location-based services for users based on their daily routine.
* Improved calendar management with accurate time of arrival predictions.
* Enhanced user experience through location-specific services and recommendations.

==Problems Solved==
* Difficulty in providing personalized services based on a user's routine and interests.
* Inaccurate time of arrival predictions for calendar events.
* Limited access to location-based services and information.

==Benefits==
* Personalized and tailored services based on a user's routine and interests.
* Improved time management and planning with accurate time of arrival predictions.
* Access to a wide range of location-based services and information through an API.


==Original Abstract Submitted==

Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).



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