METHOD AND APPARATUS FOR UTILIZING USER FEEDBACK TO IMPROVE SIGNIFIER MAPPING

• US 20130073487A1
• Filed: 07/27/2012
• Published: 03/21/2013
• Est. Priority Date: 05/23/2000
• Status: Active Grant

• Current Assignee: OpenTV, Inc. (Kudelski SA)
• Original Assignee: RPX Corporation
• Inventors: Reisman, Richard
• Granted Patent: US 9,158,764 B2
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/3331 Query processing
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

Embodiments disclosed herein may relate to processing a user input comprising a resource identity signifier for a target resource with reference to a heuristic knowledge base utilizing a processor of a computing platform to determine a possible target resource. Embodiments may further relate to learning a social usage of the resource identity signifier from feedback gathered from a plurality of users based at least in part on previous social usage of the resource identity signifier, and may also relate to transmitting a resource locator corresponding to the determined possible target resource to a user computing platform at least in part in response to a determination of the possible target resource having a degree of confidence exceeding a selected threshold.

Claims

1-31. -31. (canceled)

32. A method, comprising:

processing a user input comprising a resource identity signifier for a target resource with reference to a heuristic knowledge base utilizing a processor of a computing platform to determine a possible target resource, the heuristic knowledge base comprising an index of available resources of a plurality of resources on a network, wherein one or more of the plurality of the resources are identified by resource locators containing registered elements, the resource identity signifier for the target resource being independent of the registered elements;

learning a social usage of the resource identity signifier from feedback gathered from a plurality of users based at least in part on previous social usage of the resource identity signifier; and

transmitting a resource locator corresponding to the determined possible target resource to a user computing platform at least in part in response to a determination of the possible target resource having a degree of confidence exceeding a selected threshold.

33. The method of claim 32, further comprising presenting a list of one or more possible target resources ranked with respect to the resource identity signifier to the user computing platform at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

34. The method of claim 33, further comprising receiving from the user computing platform an indication of a selection by the user of one or more of the ranked list of possible target resources.

35. The method of claim 34, further comprising updating the heuristic knowledge base in accordance with the selection by the user of the one or more of the ranked list of possible target resources.

36. The method of claim 32, further comprising transmitting a message to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold, the message to indicate to the user that a match for the target identity signifier was not found.

37. The method of claim 32, further comprising transmitting a search interface to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

38. The method of claim 32, wherein the possible target resource is determined at least in part without regard to any comparison of linguistic relationships of the signifier to content and/or metadata contained within the possible target resource.

39. The method of claim 32, further comprising updating the heuristic knowledge base in accordance with one or more express inputs received from one or more additional users identifying additional and/or desired pairings of one or more target resources to be associated with one or more respective signifiers.

40. The method of claim 32, further comprising:

updating the heuristic knowledge base with feedback from multiple users relating to the accuracy of said determining that the possible target resource comprises the target resource.

41. A server computing system, comprising:

a processor to process a user input comprising a resource identity signifier for a target resource with reference to a heuristic knowledge base stored in a memory of the server computing platform to determine a possible target resource, the heuristic knowledge base comprising an index of available resources of a plurality of resources on a network, wherein one or more of the plurality of the resources are identified by resource locators containing registered elements, the resource identity signifier for the target resource being independent of the registered elements;

the processor to learn a social usage of the resource identity signifier from feedback gathered from a plurality of users based at least in part on previous social usage of the resource identity signifier; and

a communication module to transmit a resource locator corresponding to the determined possible target resource to a user computing platform at least in part in response to a determination of the possible target resource having a degree of confidence exceeding a selected threshold.

42. The server system of claim 41, the communication module further to transmit the list of one or more possible target resources ranked with respect to the resource identity signifier to the user computing platform at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

43. The server system of claim 42, the communication module further to receive from the user computing platform an indication of a selection by the user of one or more of the ranked list of possible target resources.

44. The server system of claim 43, the processor further to update the heuristic knowledge base in accordance with the selection by the user of the one or more of the ranked list of possible target resources.

45. The server system of claim 41, the communication module further to transmit a message to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold, the message to indicate to the user that a match for the target identity signifier was not found.

46. The server system of claim 41, the communication module further to transmit a search interface to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

47. The server system of claim 41, wherein the possible target resource is determined at least in part without regard to any comparison of linguistic relationships of the signifier to content and/or metadata contained within the possible target resource.

48. The server system of claim 41, the processor further to update the heuristic knowledge base in accordance with one or more express inputs received from one or more additional users identifying additional and/or desired pairings of one or more target resources to be associated with one or more respective signifiers.

49. The server system of claim 41, the processor further to update the heuristic knowledge base with feedback from multiple users relating to the accuracy of said determining that the possible target resource comprises the target resource.

57. The article of claim 41, wherein the computer readable medium has stored thereon further instructions executable by the computer system to update the heuristic knowledge base in accordance with one or more express inputs received from one or more additional users identifying additional and/or desired pairings of one or more target resources to be associated with one or more respective signifiers.

58. The article of claim 41, wherein the computer readable medium has stored thereon further instructions executable by the computer system to update the heuristic knowledge base with feedback from multiple users relating to the accuracy of said determining that the possible target resource comprises the target resource.

50. An article, comprising a computer readable medium having stored thereon instructions executable by a computer system to:

process a user input comprising a resource identity signifier for a target resource with reference to a heuristic knowledge base stored in a memory of the server computing platform to determine a possible target resource, the heuristic knowledge base comprising an index of available resources of a plurality of resources on a network, wherein one or more of the plurality of the resources are identified by resource locators containing registered elements, the resource identity signifier for the target resource being independent of the registered elements;

learn a social usage of the resource identity signifier from feedback gathered from a plurality of users based at least in part on previous social usage of the resource identity signifier; and

transmit a resource locator corresponding to the determined possible target resource to a user computing platform at least in part in response to a determination of the possible target resource having a degree of confidence exceeding a selected threshold.

51. The article of claim 50, wherein the computer readable medium has stored thereon further instructions executable by the computer system to transmit the list of one or more possible target resources ranked with respect to the resource identity signifier to the user computing platform at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

52. The article of claim 51, wherein the computer readable medium has stored thereon further instructions executable by the computer system to receive from the user computing platform an indication of a selection by the user of one or more of the ranked list of possible target resources.

53. The article of claim 52, wherein the computer readable medium has stored thereon further instructions executable by the computer system to update the heuristic knowledge base in accordance with the selection by the user of the one or more of the ranked list of possible target resources.

54. The article of claim 50, wherein the computer readable medium has stored thereon further instructions executable by the computer system to transmit a message to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold, the message to indicate to the user that a match for the target identity signifier was not found.

55. The article of claim 50, wherein the computer readable medium has stored thereon further instructions executable by the computer system to transmit a search interface to the user computing platform for display to the user at least in part in response to none of the available target resources comprising the possible target resource having a degree of confidence exceeding the selected threshold.

56. The article of claim 50, wherein the possible target resource is determined at least in part without regard to any comparison of linguistic relationships of the signifier to content and/or metadata contained within the possible target resource.