SYSTEMS AND METHODS FOR PROVIDING LOCATION-BASED DATA ANALYTICS APPLICATIONS

• US 20170270564A1
• Filed: 03/15/2016
• Published: 09/21/2017
• Est. Priority Date: 03/15/2016
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Mendiola, John Taskin, Wolf, Edward Francis, Vinasco Vallejo, Mario Alberto, Messiha, Joseph
• Granted Patent: US 10,664,869 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/127 to a central station ; Indicators in a central station
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Systems, methods, and non-transitory computer-readable media can receive user social network information, including user location information, for a plurality of users. The plurality of users is filtered based on user social network information. A business action is determined based on the user social network information.

Claims

1. A computer-implemented method comprising:

receiving, by a computing system, user social network information, including user location information, for a plurality of users;

filtering, by the computing system, the plurality of users based on user social network information; and

determining, by the computing system, a business action based on the user social network information.

2. The computer-implemented method of claim 1, further comprising determining user travel patterns based on the user social network information.

3. The computer-implemented method of claim 2, further comprising predicting a predicted user travel course based on the user travel patterns.

4. The computer-implemented method of claim 3, wherein determining a business action based on the user social network information comprises providing an advertisement based on the predicted user travel course.

5. The computer-implemented method of claim 1, wherein filtering the plurality of users based on user social network information comprises filtering the plurality of users based on demographic information.

6. The computer-implemented method of claim 1, wherein filtering the plurality of users based on user social network information comprises filtering the plurality of users based on user residence information.

7. The computer-implemented method of claim 1, wherein the business action comprises opening a new location.

8. The computer-implemented method of claim 1, wherein the business action comprises implementing an employer-provided shuttle system.

9. The computer-implemented method of claim 1, wherein the business action comprises revising an employer-provided shuttle system based on the user social network information.

10. The computer-implemented method of claim 9, wherein revising the employer-provided shuttle system comprises revising at least one shuttle stop or at least one shuttle route based on the user social network information.

11. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising;

receiving user social network information, including user location information, for a plurality of users;

filtering the plurality of users based on user social network information; and

determining a business action based on the user social network information.

12. The system of claim 11, wherein the method further comprises determining user travel patterns based on the user social network information.

13. The system of claim 12, wherein the method further comprises predicting a predicted user travel course based on the user travel patterns.

14. The system of claim 13, wherein determining a business action based on the user social network information comprises providing an advertisement based on the predicted user travel course.

15. The system of claim 11, wherein filtering the plurality of users based on user social network information comprises filtering the plurality of users based on demographic information.

16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:

receiving user social network information, including user location information, for a plurality of users;

filtering the plurality of users based on user social network information; and

determining a business action based on the user social network information.

17. The non-transitory computer-readable storage medium of claim 16, wherein the method further comprises determining user travel patterns based on the user social network information.

18. The non-transitory computer-readable storage medium of claim 17, wherein the method further comprises predicting a predicted user travel course based on the user travel patterns.

19. The non-transitory computer-readable storage medium of claim 18, wherein determining a business action based on the user social network information comprises providing an advertisement based on the predicted user travel course.

20. The non-transitory computer-readable storage medium of claim 16, wherein filtering the plurality of users based on user social network information comprises filtering the plurality of users based on demographic information.