METHOD AND SYSTEM FOR IMPROVEMENT OF REQUEST PROCESSING

• US 20140201202A1
• Filed: 03/17/2014
• Published: 07/17/2014
• Est. Priority Date: 05/01/2008
• Status: Abandoned Application

• Current Assignee: ChaCha Search, Inc.
• Original Assignee: ChaCha Search, Inc.
• Inventors: Jones, Scott A., Cooper, Thomas E., Malseed, Mark Stephen, Jockisch, Jeffrey Glen, Gamache, Mark, Burroughs, Michael B.
• Application Number:
  US14/215,430
• Publication Number:
  US 20140201202A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/332 Query formulation
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence

Abstract

A system and method of processing a request including improving usage and/or performance of resources is disclosed. Information relating to a user request may be provided to one or more resources which process the information and provide a result. A result and/or other information may be provided to a human assistant or guide who may process information to produce a result and/or review a result(s). Information provided by a guide may be processed and provided to a resource, which may improve the performance of a resource. A resource(s) and/or a guide(s) may be selected and/or provided with activities based on ratings and/or rankings associated with a request, which may optimize usage of system resources. Information obtained may be provided for various purposes.

Claims

1. A computer implemented method for improving resource utilization, comprising:

receiving a request;

submitting the request to a resource which performs a conversion of content indicated by the request;

selecting a human assistant when the conversion requires a review by the human assistant; and

providing a response to a source of the request based on an output of the conversion.

2. The method of claim 1, further comprising:

selecting the human assistant when a ranking assigned to the review is a highest ranking for tasks which the human assistant is eligible to perform.

3. The method of claim 1, further comprising:

selecting the human assistant based on a number of times that human assistants have reviewed outputs of the resource for the conversion.

4. The method of claim 1, further comprising:

selecting the human assistant based on a number of times the review by the human assistant has been required by requests submitted by a source of the request.

5. The method of claim 1, further comprising:

presenting information of the request and the output to the human assistant when the conversion does not require the review by the human assistant; and

determining a rating of the human assistant for the conversion based on the review.

6. The method of claim 1, further comprising:

presenting information of the request and the output to the human assistant when the conversion does not require the review by the human assistant;

comparing the output of the resource to a result obtained from another resource; and

delivering the review and the output of the review to the other resource when an action of the human assistant indicates that the result does not match the output.

7. The method of claim 1, further comprising:

obtaining demographic or geographic information of a source of the request; and

selecting the human assistant based on a number of requests associated with the information have been submitted to the resource.

8. The method of claim 1, further comprising:

submitting the request to the resource based on a number of human assistants registered to perform the conversion performed by the resource.

9. The method of claim 1, wherein the resource is a highest ranking automated resource based on previous reviews by human assistants.

10. A system, comprising:

a search service device receiving a request, submitting the request to a resource which performs a conversion of content indicated by the request, selecting a human assistant when the conversion requires a review by the human assistant, and providing a response to a source of the request based on an output of the conversion;

a resource device receiving information of the request; and

a guide device providing the review when the conversion requires the review by the human assistant.

11. The system of claim 10, further comprising:

a user device submitting the query and receiving the response.

12. The system of claim 10, wherein the review is performed subsequent to the response being provided to a user submitting the query.

13. A non-transitory computer readable medium storing therein a program for causing a computer to execute an operation including optimizing usage of providers, comprising:

receiving a request;

submitting the request to a resource which performs a conversion of content indicated by the request;

selecting a human assistant when the conversion requires a review by the human assistant; and

providing a response to a source of the request based on an output of the conversion.

14. The computer readable medium of claim 13, wherein the operation further comprises:

identifying the resource based on selections of resources by human assistants registered to perform the conversion.

15. The computer readable medium of claim 13, wherein the operation further comprises:

identifying the resource based on a structured query associated with the request by the human assistant.

16. The computer readable medium of claim 13, wherein the operation further comprises:

selecting the human assistant when the human assistant has achieved a proficiency criterion based on a number of correct reviews.

17. The computer readable medium of claim 13, wherein the operation further comprises:

obtaining metadata associated with the output; and

providing the response based on a search by a human searcher selected based on the metadata.

18. The computer readable medium of claim 13, wherein the operation further comprises:

obtaining metadata associated with the output; and

providing the response based on a search performed by submitting the request to a search engine determined based on a ranking of the search engine for the metadata.

19. The computer readable medium of claim 13, wherein the operation further comprises:

selecting the human assistant when the output does not match a result obtained from at least one other resource which performs the conversion.

20. The computer readable medium of claim 13, wherein the operation further comprises:

providing the output to human assistants; and

selecting the resource based on a number of times the output is accepted by the human assistants compared to another resource.