System and method for providing intelligent location information

• US 9,672,468 B2
• Filed: 02/18/2016
• Issued: 06/06/2017
• Est. Priority Date: 05/07/2012
• Status: Expired due to Fees

• Current Assignee: Runway 20, Inc.
• Original Assignee: Runway 20, Inc.
• Inventors: Smith, Lucas O., Rickard, Oliver C., Moulia, Thomas, Ferrell, Bill
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US15/047,248
• Publication Number:
  US 20160162795A1
• Time in Patent Office: 474 Days
• Field of Search: 706 48
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 51/222 using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A method and system that includes extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location; periodically receiving location information of at least one mobile device of the user; storing the location information in a location log; a pattern worker module maintaining user location patterns through the location log; generating a location prediction from the extracted event models and the user location patterns; a first content worker module checking if the location prediction meets a set of content requirements; if the set of content requirements is satisfied, initiating content retrieval from at least one service; and pushing the content to the mobile device.

Claims

1. A method comprising:

extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location;

periodically receiving location information of at least one mobile device of the user;

storing the location information in a location log;

maintaining user location patterns through the location log, wherein maintaining user location patterns comprises updating a plurality of pattern models that characterizes location patterns;

generating a location prediction from the extracted event models and the user location patterns;

using a first content worker module, checking if the location prediction meets a set of content requirements;

if the set of content requirements is satisfied, initiating content retrieval from at least one service; and

pushing the content to the mobile device;

wherein at least two pattern models of the plurality of pattern models are Markov chains that are characterized for two different time frames.

2. The method of claim 1, wherein the content condition is a condition of the current time being an expected departure time to travel to the location prediction.

3. The method of claim 1, wherein the expected departure time is based on expected travel time between the location prediction and a current location of the mobile device.

4. The method of claim 1, wherein the at least one personal planning source includes an email account and a calendar application.

5. The method of claim 1, wherein a content scenario is associated with the first content worker module, and the content retrieval is for content associated with the content scenario.

6. The method of claim 5, wherein the content scenario is a flight scenario.

7. The method of claim 5, further comprising a second content worker module checking if the location prediction meets a set of content requirements of the second content worker module.

8. The method of claim 7, wherein the first content worker module is for a traffic content scenario and the second content worker module for a weather content scenario.

9. The method of claim 1, wherein the content pushed to the mobile device includes user interface elements pre-configured to include location parameters in an interaction with an outside service.

10. The method of claim 1, wherein the location log is used to store location information of a plurality of users.

11. The method of claim 1, further comprising granting permissions to an outside application to access location information of the user;

a context worker module checking if the location prediction meets a set of context requirements and notifying the outside agent of the location prediction context if the set of context requirements is satisfied.

19. The method of claim 1, wherein the content pushed to the mobile device includes user interface elements pre-configured to include location parameters in an interaction with an outside service.

20. The method of claim 1, wherein the location log is used to store location information of a plurality of users.

21. The method of claim 1, further comprising granting permissions to an outside application to access location information of the user;

a context worker module checking if the location prediction meets a set of context requirements and notifying the outside agent of the location prediction context if the set of context requirements is satisfied.

12. A method comprising:

extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location;

periodically receiving location information of at least one mobile device of the user;

storing the location information in a location log;

maintaining user location patterns through the location log, wherein maintaining user location patterns comprises updating a plurality of pattern models that characterizes location patterns;

generating a location prediction from the extracted event models and the user location patterns;

using a first content worker module, checking if the location prediction meets a set of content requirements;

if the set of content requirements is satisfied, initiating content retrieval from at least one service; and

pushing the content to the mobile device;

wherein a content scenario is associated with the first content worker module, and the content retrieval is for content associated with the content scenario.

13. The method of claim 12, wherein the content condition is a condition of the current time being an expected departure time to travel to the location prediction.

14. The method of claim 12, wherein the expected departure time is based on expected travel time between the location prediction and a current location of the mobile device.

15. The method of claim 12, wherein the at least one personal planning source includes an email account and a calendar application.

16. The method of claim 12, wherein the content scenario is a flight scenario.

17. The method of claim 12, further comprising a second content worker module checking if the location prediction meets a set of content requirements of the second content worker module.

18. The method of claim 17, wherein the first content worker module is for a traffic content scenario and the second content worker module for a weather content scenario.