Crowd Sourcing Information to Fulfill User Requests

• US 20130304758A1
• Filed: 03/15/2013
• Published: 11/14/2013
• Est. Priority Date: 05/14/2012
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Gruber, Thomas R., Cheyer, Adam J., Pitschel, Donald W.
• Granted Patent: US 9,280,610 B2
• Time in Patent Office: Days
• US Class Current: 707/769
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

A user request is received from a mobile client device, where the user request includes at least a speech input and seeks an informational answer or performance of a task. A failure to provide a satisfactory response to the user request is detected. In response to detection of the failure, information relevant to the user request is crowd-sourced by querying one or more crowd sourcing information sources. One or more answers are received from the crowd sourcing information sources, and the response to the user request is generated based on at least one of the one or more answers received from the one or more crowd sourcing information sources.

Claims

1. A method for providing a response to a user request, comprising:

at a server computer with one or more processors and memory;

receiving a user request from a mobile client device, the user request including at least a speech input and seeks an informational answer or performance of a task;

detecting a failure to provide a satisfactory response to the user request;

in response to detecting the failure, crowd-sourcing information relevant to the user request by querying one or more crowd sourcing information sources;

receiving one or more answers from the crowd sourcing information sources; and

generating a response to the user request based on at least one of the one or more answers received from the one or more crowd sourcing information sources.

2. The method of claim 1, wherein crowd-sourcing the information relevant to the user request further comprises:

generating one or more queries based on the user request; and

sending the one or more queries to the one or more crowd sourcing information sources.

3. The method of claim 1, wherein the crowd-sourcing further comprises identifying, from a set of crowd sourcing information sources, the one or more crowd sourcing information sources to be queried.

4. The method of claim 1, further comprising, prior to the crowd-sourcing:

requesting permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources; and

receiving permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources.

5. The method of claim 1, further comprising:

receiving at least one real-time answer from a real-time answer-lookup database;

upon receipt of the at least one real-time answer, sending to the mobile client device the at least one real-time answer;

receiving at least one non-real-time answer from a non-real-time expert service after receiving the at least one real-time answer; and

upon receipt of the at least one non-real-time answer, sending to the mobile client device the at least one non-real-time answer.

6. The method of claim 1, further comprising:

not receiving any answer from at least one of the one or more crowd sourcing information sources before generating the remedial response.

7. The method of claim 1, further comprising:

when more than one answer is received from the one or more crowd sourcing information sources, ranking the answers in accordance with predetermined criteria.

8. The method of claim 1, wherein receiving the one or more answers from the crowd sourcing information sources further comprises:

receiving at least one of the one or more answers from individual members of the public in non-real-time.

9. A non-transitory computer-readable medium storing instructions, the instructions, when executed by one or more processors, cause the processors to perform operations comprising:

receiving a user request from a mobile client device, the user request including at least a speech input and seeks an informational answer or performance of a task;

detecting a failure to provide a satisfactory response to the user request;

in response to detecting the failure, crowd-sourcing information relevant to the user request by querying one or more crowd sourcing information sources;

receiving one or more answers from the crowd sourcing information sources; and

generating a response to the user request based on at least one of the one or more answers received from the one or more crowd sourcing information sources.

10. The computer-readable medium of claim 9, wherein crowd-sourcing the information relevant to the user request further comprises:

generating one or more queries based on the user request; and

sending the one or more queries to the one or more crowd sourcing information sources.

11. The computer-readable medium of claim 9, wherein the crowd-sourcing further comprises identifying, from a set of crowd sourcing information sources, the one or more crowd sourcing information sources to be queried.

12. The computer-readable medium of claim 9, wherein the operations further comprise:

prior to the crowd-sourcing;

requesting permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources; and

receiving permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources.

13. The computer-readable medium of claim 9, wherein the operations further comprise:

receiving at least one real-time answer from a real-time answer-lookup database;

upon receipt of the at least one real-time answer, sending to the mobile client device the at least one real-time answer;

receiving at least one non-real-time answer from a non-real-time expert service after receiving the at least one real-time answer; and

upon receipt of the at least one non-real-time answer, sending to the mobile client device the at least one non-real-time answer.

14. The computer-readable medium of claim 9, wherein the method further comprise:

not receiving any answer from at least one of the one or more crowd sourcing information sources before generating the remedial response.

15. The computer-readable medium of claim 9, wherein the operations further comprise:

when more than one answer is received from the one or more crowd sourcing information sources, ranking the answers in accordance with predetermined criteria.

16. The computer-readable medium of claim 9, wherein receiving the one or more answers from the crowd sourcing information sources further comprises:

receiving at least one of the one or more answers from individual members of the public in non-real-time.

17. A system, comprising:

one or more processors; and

memory storing instructions, the instructions, when executed by the one or more processors, cause the processors to perform operations comprising;

receiving a user request from a mobile client device, the user request including at least a speech input and seeks an informational answer or performance of a task;

detecting a failure to provide a satisfactory response to the user request;

in response to detecting the failure, crowd-sourcing information relevant to the user request by querying one or more crowd sourcing information sources;

receiving one or more answers from the crowd sourcing information sources; and

generating a response to the user request based on at least one of the one or more answers received from the one or more crowd sourcing information sources.

18. The system of claim 17, wherein crowd-sourcing the information relevant to the user request further comprises:

generating one or more queries based on the user request; and

sending the one or more queries to the one or more crowd sourcing information sources.

19. The system of claim 17, wherein the crowd-sourcing further comprises identifying, from a set of crowd sourcing information sources, the one or more crowd sourcing information sources to be queried.

20. The system of claim 17, wherein the operations further comprise:

prior to the crowd-sourcing;

requesting permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources; and

receiving permission from the user to send the information contained in the user request to the one or more crowd sourcing information sources.

21. The system of claim 17, wherein the operations further comprise:

receiving at least one real-time answer from a real-time answer-lookup database;

upon receipt of the at least one real-time answer, sending to the mobile client device the at least one real-time answer;

receiving at least one non-real-time answer from a non-real-time expert service after receiving the at least one real-time answer; and

upon receipt of the at least one non-real-time answer, sending to the mobile client device the at least one non-real-time answer.

22. The system of claim 17, wherein the operations further comprise:

not receiving any answer from at least one of the one or more crowd sourcing information sources before generating the remedial response.

23. The system of claim 17, wherein the operations further comprise:

when more than one answer is received from the one or more crowd sourcing information sources, ranking the answers in accordance with predetermined criteria.

24. The system of claim 17, wherein receiving the one or more answers from the crowd sourcing information sources further comprises:

receiving at least one of the one or more answers from individual members of the public in non-real-time.