PASSIVE SOCIAL NETWORKING USING LOCATION

• US 20160358214A1
• Filed: 02/20/2015
• Published: 12/08/2016
• Est. Priority Date: 02/21/2014
• Status: Abandoned Application

• Current Assignee: Skyblu Incorporated
• Original Assignee: Open Garden Incorporated
• Inventors: Shalunov, Stanislav, Hazel, Gregory, Benoliel, Micha
• Application Number:
  US14/758,960
• Publication Number:
  US 20160358214A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/08 User group management

Abstract

A system and a method for collecting passively generated time-stamped location data from mobile devices and using this data to generate social network. The social network utilizes the data to determine a user'"'"'s friends, family members, coworkers, and other associates. The system and a method improve social networking applications by automatically generating friend lists and user lists, and for automatically keeping these lists up to date. Further, the data can be used for social discovery, including dating, professional networking, and travel applications. The system and method further uses this data to determine a user'"'"'s hobbies and interests. A recommendation engine may be used to generate recommendations for products, services, and businesses based on passive location data. A system and a method for an advertising system for products, services, and businesses based on passive location data are also disclosed.

Claims

1. A computer implemented method for generating a social network, comprising executing on one or more processors the steps of:

periodically collecting from a plurality of mobile devices of users tuples, wherein each tuple comprise data indicating location of the mobile device and time the tuple was generated;

cross correlating the tuples from the plurality of users to identify tuples that overlap in location and time;

generating an association between users having tuples that overlap in location and time; and

,

storing in a memory a collection of associations to thereby generate the social network.

2. The method of claim 1, further comprising:

indicating a weight for each of the associations;

increasing the weight for an association in correlation with identification of repeated tuples that overlap in location and time.

3. The method of claim 1, wherein periodically collecting comprises:

installing apps in the users mobile devices, wherein each app fetches location and time data from its mobile device and wirelessly transmits a tuple of the location and time data.

4. The method of claim 3, further comprising:

whenever an association is generated, causing the app to prompt the user to accept or reject the new association.

5. The method of claim 1, wherein the tuple comprises:

user ID, time, and location.

6. The method of claim 5, wherein the tuple further comprises location error.

7. The method of claim 6, wherein cross correlating overlap in location is determined within the location error.

8. The method of claim 7, further comprising generating a mapping wherein each location is marked by a curve of varying size, wherein the size correlates to the location error.

9. The method of claim 1, further comprising:

generating a list of interests;

associating each of the interests with at least one of a plurality of geographical locations;

cross correlating tuples from the plurality of users to identify tuples having location overlapping with one of the geographical locations; and

,

generating an interest association between interests associated with the geographical locations and users having location overlapping with one of the geographical locations.

10. The method of claim 9, wherein each of the geographical locations comprises one of:

a business establishment, a governmental building, an education facility, and a public park.

11. The method of claim 9, further comprising:

generating a list of products; and

,

associating each of the products with at least one of the geographical locations.

12. The method of claim 9, further comprising:

generating a list of products; and

,

associating each of the products with at least one of the interests.

13. The method of claim 12, further comprising generating an ad for one of the products and sending the ad to users included in the interest association of an interest associated with the product.

14. The method of claim 1, wherein periodically collecting comprises:

installing apps in the users mobile devices, wherein each app fetches location and time data from its mobile device and determines identifications of devices within its geographical location, and generates a tuple of the location, time, and identifications of devices within its geographical location data.

15. A computer implemented method for generating a mapping of a user interests, comprising executing on one or more processors the steps of:

periodically collecting from a user device a tuple indicating location and time;

cross correlating the tuples to a plurality of establishments;

generating an association between each establishment and a plurality of interests;

when a tuple overlaps in location with one of the plurality of establishments, generating an interest association between the user and the interest associated with the establishment; and

,

storing a collection of interest associations.

16. The method of claim 15, further comprising generating a correlation of establishments and interests.

17. The method of claim 15, further comprising generating an inquiry to the user to accept or reject the interest association.

18. The method of claim 15, further comprising associating ads with interests, and sending users ads according to the interest associations.

19. The method of claim 15, further comprising:

indicating a weight for each of the association; and

,

increasing the weight for an association in correlation with identification of repeated tuples that overlap in corresponding location and time.

20. The method of claim 15, further comprising generating a correlation of products and interests.

21. The method of claim 15, wherein the tuple comprises:

device ID, time, location, and location error.

22. The method of claim 21, further comprising associating a username with the device ID.

23. The method of claim 21, further comprising associating the user'"'"'s actual name with the device ID.

24. The method of claim 22, further comprising associating the user'"'"'s actual name with the username.

25. A system for generating and maintaining a social network, comprising:

a server having a program with instructions causing the server to perform the operations comprising;

receiving plurality of tuples from plurality of mobile devices, each tuple comprising device ID, time, and geographic location;

cross correlating the tuples from the plurality of devices to identify tuples that overlap in location and time;

generating an association between devices having tuples that overlap in location and time; and

,

storing a collection of associations;

an app configured for download and installation on mobile devices, the app having instruction to, when running on the mobile device, periodically perform the operations comprising;

obtain geographical location of the mobile device;

obtain local time;

assemble a tuple comprising a device ID, the geographical location, and the local time; and

,

wirelessly transmit the tuple to the server.

26. The system of claim 25, further comprising:

transmitting from the server to each mobile device relevant associations from the collection of associations.

27. The system of claim 25, further comprising continuously updating the collection of associations according to tuples received from mobile devices.

28. The system of claim 25, further comprising:

for each device ID, when a new transmission of a tuple is received that overlaps in location and time with another device ID, checking whether the another device ID is already associated with the device ID and, when not, sending a message to the device sending the new transmission offering to add the another device ID to a social network.

29. The method of claim 25, further comprising:

indicating a weight for each of the associations;

increasing the weight for an association in correlation with identification of repeated tuples that overlap in location and time.

30. The method of claim 25, further comprising:

generating a list of interests;

associating each of the interests with at least one of a plurality of geographical locations;

cross correlating tuples from the plurality of users to identify tuples having location overlapping with one of the geographical locations; and

,

generating an interest association between interests associated with the geographical locations and users having location overlapping with one of the geographical locations.

31. The method of claim 30, further comprising:

generating a list of products; and

,

associating each of the products with at least one of the geographical locations.

32. The method of claim 25, further comprising maintaining at the server a correlation set correlating a list of products and a list of interests.

33. An application having instruction to, when running on a mobile device, periodically perform the operations comprising:

obtaining geographical location of the mobile device;

obtaining local time;

assembling a tuple comprising a device ID, the geographical location, and the local time;

wirelessly transmitting the tuple to a server; and

,

receive from the server a list of devices having tuples that overlap in location and time.

34. The application of claim 33, further comprising receiving from the server an interest update corresponding to the tuples transmitted by the mobile device.

35. The application of claim 33, wherein device ID comprises username.

36. The application of claim 33, wherein obtaining geographical location comprises fetching the geographical location from a GPS application operating on the mobile device.

37. The application of claim 33, wherein obtaining local time comprises fetching the local time from a clock application operating on the mobile device.

38. The application of claim 33, further comprising receiving from the server and displaying on the mobile device an advertising for a product corresponding to the tuple transmitted by the mobile device.

39. A server having a program with instructions causing the server to perform the operations comprising:

receiving plurality of tuples from plurality of mobile devices, each tuple comprising device ID, time, and geographic location;

cross correlating the tuples from the plurality of devices to identify tuples that overlap in location and time;

generating an association between devices having tuples that overlap in location and time; and

,

storing a collection of associations.

40. The server of claim 39, further comprising:

sending messages to devices having tuples that overlap in location and time indicating the association.

41. The server of claim 40, further comprising:

indicating a weight for each of the associations;

increasing the weight for an association in correlation with identification of repeated tuples that overlap in location and time.

42. A computer program with instructions causing a server to perform the operations comprising:

receiving plurality of tuples from plurality of mobile devices, each tuple comprising device ID, time, and geographic location;

for each of the mobile devices, cross correlating the tuples with a list of interests, wherein each interest is associated with at least one geographical location;

for each of the mobile devices generating and maintaining an interest association list; and

,

storing and updating a collection of interest associations lists for the mobile devices.

43. The computer program of claim 42, further comprising instructions causing a server to perform the operations comprising sending to each mobile device the interest associations corresponding to the mobile device.

44. The computer program of claim 42, further comprising instructions causing a server to send to the mobile devices advertisements for a product corresponding to the list of interests for the mobile devices.

45. The computer program of claim 42, further comprising instructions causing a server to perform the operations comprising:

cross correlating the tuples from the plurality of users to identify tuples that overlap in location and time;

generating an association between users having tuples that overlap in location and time; and

,

storing a collection of associations.

46. The computer program of claim 45, further comprising:

indicating a weight for each of the associations;

increasing the weight for an association in correlation with identification of repeated tuples that overlap in location and time.