REAL-TIME DATA INPUT RELEVANCE RANKING AND RESULTING DATA OUTPUT

• US 20150074197A1
• Filed: 09/09/2014
• Published: 03/12/2015
• Est. Priority Date: 09/09/2013
• Status: Active Grant

• Current Assignee: Pacific Wave Technology Inc.
• Original Assignee: Cloudwear, Inc
• Inventors: Brown, Wendell, Tann, Evan Gregory
• Granted Patent: US 10,585,954 B2
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06N 3/006 based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• 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 4/21 for social networking applications
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Techniques are presented for ranking and presenting information to a user. In one example, a portable computing device may collect a first set of data from one or more sensors, rank a second set of data (e.g., advertisements, news, etc.) by correlating the first set of data with a third set of data of interest to a user, and present the ranked information to the user. In another example, the portable computing device may transmit the collected information to a server for processing, and receive the ranked information from the server.

Claims

1. A method for generating a ranked stream of data by a server, the method comprising:

receiving a first set of data from a portable computing device, the first set of data corresponding to measurements performed by one or more sensors;

ranking a plurality of elements in a second set of data based on a plurality of metrics defined by correlations between the first set of data and a third set of data of interest to a user; and

transmitting one or more of the ranked elements in the second set of data to the portable computing device.

2. The method of claim 1, further comprising:

receiving the third set of data from the portable computing device.

3. The method of claim 1, wherein the third set of data comprises information corresponding to social network activities of the user.

4. The method of claim 1, wherein the third set of data further comprises information corresponding to social network activities of one or more users associated with the user in a social network.

5. The method of claim 1, wherein ranking the plurality of elements in the second set of data comprises:

categorizing the plurality of elements in the second set of data using a classifying algorithm; and

generating the plurality of metrics corresponding to the plurality of elements using a collaborative filtering algorithm.

6. The method of claim 1, further comprising:

receiving a feedback from the portable computing device corresponding to at least one of the elements in the third set of data; and

updating the plurality of metrics in accordance with the feedback.

7. The method of claim 1, wherein the server is a cloud computing server.

8. The method of claim 1, wherein the second set of data comprises advertisement information.

9. The method of claim 1, wherein the plurality of elements in a second set of data are ranked in real-time.

10. A method for obtaining a ranked stream of data by a portable computing device, the method comprising:

transmitting a first set of data to a server, the first set of data corresponding to measurements performed by one or more sensors;

receiving one or more ranked elements from the server, said one or more ranked elements being selected from a second set of data corresponding to correlations between the first set of data and a third set of data of interest to a user; and

presenting the one or more ranked elements to the user by the portable computing device.

11. The method of claim 10, further comprising:

transmitting the third set of data to the server.

12. The method of claim 10, wherein the third set of data comprises information corresponding to social network activities of the user.

13. The method of claim 10, wherein the third set of data further comprises information corresponding to social network activities of one or more users associated with the user in a social network.

14. The method of claim 10, further comprising:

transmitting a feedback corresponding to at least one of the presented elements to the server; and

receiving a set of updated elements from the server.

15. The method of claim 10, wherein at least one of the one or more sensors is disposed in a device communicatively coupled to the portable computing device.

16. The method of claim 10, wherein the one or more ranked elements comprise advertisement information.

17. The method of claim 10, wherein the one or more ranked elements are presented to the user in real-time.

18. A method for generating a ranked stream of data by a portable computing device, the method comprising:

obtaining a first set of data from one or more sensors;

obtaining a second set of data of interest to a user of the portable computing device;

ranking a plurality of elements in a third set of data based on a plurality of metrics defined by correlations between the first set of data and the second set of data; and

presenting one or more of the ranked elements in the third set of data to the user.

19. The method of claim 18, wherein the second set of data comprises information corresponding to social network activities of the user.

20. The method of claim 18, wherein ranking the plurality of elements in the third set of data comprises:

categorizing the plurality of elements in the third set of data using a classifying algorithm; and

generating the plurality of metrics corresponding to the plurality of elements using a collaborative filtering algorithm.

21. The method of claim 18, further comprising:

receiving a feedback from the user corresponding to at least one of the presented elements; and

updating the plurality of metrics in accordance with the feedback.

22. The method of claim 18, wherein the third set of data comprises advertisement information.

23. The method of claim 18, wherein at least one of the one or more sensors is disposed in a device communicatively coupled to the portable computing device.

24. The method of claim 18, wherein the one or more ranked elements are presented to the user in real-time.

25. A computer system configured to:

receive a first set of data from a portable computing device, the first set of data corresponding to measurements performed by one or more sensors;

rank a plurality of elements in a second set of data based on a plurality of metrics defined by correlations between the first set of data and a third set of data of interest to a user; and

transmit one or more of the ranked elements in the second set of data to the portable computing device.

26. The computer system of claim 25, further configured to receive the third set of data from the portable computing device.

27. The computer system of claim 25, wherein the third set of data comprises information corresponding to social network activities of the user.

28. The computer system of claim 25, wherein the third set of data further comprises information corresponding to social network activities of one or more users associated with the user in a social network.

29. The computer system of claim 25, further configured to:

categorize the plurality of elements in the second set of data using a classifying algorithm; and

generate the plurality of metrics corresponding to the plurality of elements using a collaborative filtering algorithm.

30. The computer system of claim 25, further configured to receive a feedback from the portable computing device corresponding to at least one of the elements in the third set of data, and update the plurality of metrics in accordance with the feedback.

31. The computer system of claim 25, wherein the computer system is a cloud computing server.

32. The computer system of claim 25, wherein the second set of data comprises advertisement information.

33. The computer system of claim 25, further configured to rank the plurality of elements in the second set of data in real-time.

34. A portable communication/computing device configured to:

transmit a first set of data to a server, the first set of data corresponding to measurements performed by one or more sensors;

receive one or more ranked elements from the server, said one or more ranked elements being selected from a second set of data corresponding to correlations between the first set of data and a third set of data of interest to a user; and

present the one or more ranked elements to the user.

35. The portable communication/computing device of claim 34, further configured to transmit the third set of data to the server.

36. The portable communication/computing device of claim 34, wherein the third set of data comprises information corresponding to social network activities of the user.

37. The portable communication/computing device of claim 34, wherein the third set of data further comprises information corresponding to social network activities of one or more users associated with the user in a social network.

38. The portable communication/computing device of claim 34, further configured to transmit a feedback corresponding to at least one of the presented elements to the server, and receive a set of updated elements from the server.

39. The portable communication/computing device of claim 34, wherein at least one of the one or more sensors is disposed in a device communicatively coupled to the portable communication/computing device.

40. The portable communication/computing device of claim 34, wherein the one or more ranked elements comprise advertisement information.

41. The portable communication/computing device of claim 34, wherein the one or more ranked elements are presented to the user in real-time.

42. A portable communication/computing device configured to:

obtain a first set of data from one or more sensors;

obtain a second set of data of interest to a user of the portable communication/computing device;

rank a plurality of elements in a third set of data based on a plurality of metrics defined by correlations between the first set of data and the second set of data; and

present one or more of the ranked elements in the third set of data to the user.

43. The portable communication/computing device of claim 42, wherein the second set of data comprises information corresponding to social network activities of the user.

44. The portable communication/computing device of claim 42, further configured to:

categorize the plurality of elements in the third set of data using a classifying algorithm; and

generate the plurality of metrics corresponding to the plurality of elements using a collaborative filtering algorithm.

45. The portable communication/computing device of claim 42, further configured to receive a feedback from the user corresponding to at least one of the presented elements, and update the plurality of metrics in accordance with the feedback.

46. The portable communication/computing device of claim 42, wherein the third set of data comprises advertisement information.

47. The portable communication/computing device of claim 42, wherein at least one of the one or more sensors is disposed in a device communicatively coupled to the portable communication/computing device.

48. The portable communication/computing device of claim 42, wherein the one or more ranked elements are presented to the user in real-time.

49. A non-transitory computer-readable medium comprising computer readable instructions configured to cause a processor to:

receive a first set of data from a portable computing device, the first set of data corresponding to measurements performed by one or more sensors;

rank a plurality of elements in a second set of data based on a plurality of metrics defined by correlations between the first set of data and a third set of data of interest to a user; and

transmit one or more of the ranked elements in the second set of data to the portable computing device.

50. A non-transitory computer-readable medium comprising computer readable instructions configured to cause a processor to:

transmit a first set of data to a server, the first set of data corresponding to measurements performed by one or more sensors;

receive one or more ranked elements from the server, said one or more ranked elements being selected from a second set of data corresponding to correlations between the first set of data and a third set of data of interest to a user; and

present the one or more ranked elements to the user.

51. A non-transitory computer-readable medium comprising computer readable instructions configured to cause a processor to:

obtain a first set of data from one or more sensors;

obtain a second set of data of interest to a user of a portable communication/computing device;

rank a plurality of elements in a third set of data based on a plurality of metrics defined by correlations between the first set of data and the second set of data; and

present one or more of the ranked elements in the third set of data to the user.