Location-conscious social networking apparatuses, methods and systems

• US 9,710,483 B1
• Filed: 03/11/2013
• Issued: 07/18/2017
• Est. Priority Date: 03/16/2012
• Status: Active Grant

• Current Assignee: Miller Nelson, LLC
• Original Assignee: Miller Nelson, LLC
• Inventors: Miller, Luke, Miller, Nicolina
• Primary Examiner(s): Zand, Davoud
• Application Number:
  US13/793,139
• Time in Patent Office: 1,590 Days
• Field of Search: 709204, 709205, 709206, 709207, 709217, 709227, 709228
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal

Abstract

The LOCATION-CONSCIOUS SOCIAL NETWORKING APPARATUSES, METHODS, AND SYSTEMS (“LCSN”) transforms user personality and location inputs via LCSN components into match and transaction outputs. LCSN may be a processor-implemented method for location-conscious social networking, involving collecting personality details pertaining to a user, analyzing the personality details and constructing a personality profile for the user. The LCSN may also collect geolocation information from the user and compare it to geolocation data from other users, may use user personality profiles to calculate a compatibility rating between the user and other users, and may send an alert to users if the geolocation data indicates that the user is within a specified distance of another user, and/or if the users are matches for each other. Users may further be able to express anonymous interest in other users by anonymously rating potential matches.

Claims

1. A hardware processor-implemented method for location-conscious social networking, comprising:

collecting via a hardware processor personality details pertaining to a user;

analyzing the personality detailed via the hardware processor and generating at least one personality keyword associated with the user'"'"'s personality, wherein the at least one personality keyword is devoid of user identifiers;

constructing via the hardware processor a personality profile for the user based on the at least one generated personality keyword;

collecting via the hardware processor geolocation information regarding the user;

comparing the geolocation regarding the user with geolocation data associated with at least one other user;

calculating a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user;

sending an alert to the user and the at least one other user if the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another;

receiving an indication of interest from the user in regards to the at least one other user;

sending a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user; and

forwarding messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least other user has also indicated interest in the user.

2. The method of claim 1, wherein the personality details correspond to at least one of a hobby, a habit, business objectives, and trait personality keywords.

3. The method of claim 1, wherein the personality details are analyzed via a natural language processing component.

4. The method of claim 1, wherein the geolocation data is GPS data.

5. The method of claim 1, wherein the geolocation data is based on Wi-Fi network data.

6. The method of claim 1, wherein the geolocation data is based on mobile phone network data.

7. The method of claim 1, wherein the alert includes profile information associated with the at least one other user.

8. The method of claim 1, wherein the indication of interest from the user is anonymous.

9. The method of claim 1, wherein the indication of interest from the user is not anonymous, and wherein a notification of interest is sent to the at least one other user even if the at least other user has not indicated interest in the user.

10. The method of claim 1, wherein the geolocation data is based on using any of GPS, Wi-Fi, Bluetooth, or mobile phone network data utilized with an image processing component.

11. The method of claim 1, wherein the geolocation data is based solely on an image processing component.

12. An apparatus for location-conscious social networking, comprising:

a processor; and

a memory in communication with the processor possessing processor-readable instructions to;

collect via a processor personality details pertaining to a user;

analyze the personality details via the processor and generating at least one personality keyword associated with the user'"'"'s personality, wherein the at least one personality keyword is devoid of user identifiers;

construct via the processor a personality profile for the user based on the at least one generated personality keyword;

collect via the processor geolocation information regarding the user;

compare the geolocation regarding the user with geolocation data associated with at least one other user;

calculate a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user;

send an alert to the user and the at least one other user if the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another;

receive an indication of interest from the user in regards to the at least one other user;

send a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user; and

forward messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least other user has also indicated interest in the user.

13. The apparatus of claim 12, wherein the personality details correspond to at least one of a hobby, a habit, and trait personality keyword.

14. The apparatus of claim 12, wherein the personality details are analyzed via a natural language processing component.

15. The apparatus of claim 12, wherein the geolocation data is GPS data.

16. The apparatus of claim 12, wherein the geolocation data is based on Wi-Fi network data.

17. The apparatus of claim 12, wherein the geolocation data is based on mobile phone network data.

18. The apparatus of claim 12, wherein the alert profile information associated with the at least one other user.

19. The apparatus of claim 12, wherein the indication of interest from the user is anonymous.

20. The apparatus of claim 12, wherein the indication of interest from the user is not anonymous, and wherein a notification of interest is sent to the at least one other user even if the at least other user has not indicated interest in the user.

21. The apparatus of claim 12, wherein the geolocation data is based on using any of GPS, Wi-Fi, Bluetooth, or mobile phone network data utilized with an image processing component.

22. The apparatus of claim 12, wherein the geolocation data is based solely on an image processing component.

23. A system for location-conscious social networking, comprising:

means to collect via a processor personality details pertaining to user;

means to analyze the personality details via the processor and generating at least one personality keyword associated with the user'"'"'s personality, wherein the at least one personality keyword is devoid of user identifiers;

means to construct via the processor a personality profile for the user based on the at least one generated personality keyword;

means to collect via the processor geolocation information regarding the user;

means to compare the geolocation regarding the user with geolocation data associated with at least one other user;

means to calculate a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user;

means to send an alert to the user and the at least one other user if the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another;

means to receive an indication of interest from the user in regards to the at least one other user;

means to send a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user; and

means to forward messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least other user has also indicated interest in the user.

24. The system of claim 23, wherein the personality details correspond to at least one of a hobby, a habit, and trait personality keywords.

25. The system of claim 23, wherein the personality details are analyzed via a natural language processing component.

26. The system of claim 23, wherein the geolocation data is GPS data.

27. The system of claim 23, wherein the geolocation data is based on Wi-Fi network data.

28. The system of claim 23, wherein the geolocation data is based on mobile phone network data.

29. The system of claim 23, wherein the alert includes profile information associated with the at least one other user.

30. The system of claim 23, wherein the indication of interest from the user is anonymous.

31. The system of claim 23, wherein the indication of interest from the user is not anonymous, and wherein a notification of interest is sent to the at least one other user even if the at least other user has not indicated interest in the user.

32. The system of claim 23, wherein the geolocation data is based on using any of GPS, Wi-Fi, Bluetooth, or mobile phone network data utilized with an image processing component.

33. The system of claim 23, wherein the geolocation data is based solely on an image processing component.