AUTOMATED COLLECTION OF HUMAN-REVIEWED DATA

• US 20090240652A1
• Filed: 03/19/2008
• Published: 09/24/2009
• Est. Priority Date: 03/19/2008
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Su, Qi, Chow, Jyh-Herng, Pavlov, Dmitry, Baker, Wendell Craig
• Application Number:
  US12/051,608
• Publication Number:
  US 20090240652A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/93 Document management systems

Abstract

The embodiments of the present invention provide methods and systems for automated collection of human-reviewed data. Requesters send data to be reviewed by humans (or data requests) to a data processing system, which is in communication with one or more systems for collecting human-reviewed data (HRD). The methods and systems discussed enables the data processing system to work with one or more of the systems for collecting HRD). In one embodiment, between the data processing system and the systems for collecting HRD are wrappers, which stores parameters specific to the data requests and libraries for transforming the data requests to human intelligent tasks (HITs) specific to each HRD system. The data processing system also includes a number of components that facilitate transforming data requests into HITs, sending the HITs to the HRD collection systems, receiving HRD, and analyzing HRD to improve the quality of collected HRD.

Claims

1. A method of automated collection of human-reviewed data (HRD), comprising:

receiving a data request from a requester by a data processing system, wherein the data processing system defines a task design component, a task dispatcher component, a result poller component and a result analyzer component;

transforming the data request into one or more human intelligence tasks (HITs) with the assistance of the task design component of the data processing system, wherein each HIT is specific to a respective HRD collection system;

sending each HIT to the respective HRD collection system by using the task dispatcher component;

collecting the HRD from each HRD collection system with the assistance of the result poller component, wherein the HRD is provided by an answerer based on each HIT;

analyzing the collected HRD with the assistance of the analyzer component;

wherein the analysis improves the accuracy of the HRD; and

sending the analyzed collected HRD to the requester.

2. The method of claim 1, wherein the analysis includes using a voting algorithm to select the collected HRD to be sent to the requester, the voting algorithm specifying a number of the collected HRD and a voting threshold.

3. The method of claim 2, wherein the collected HRD are weighted according to source of the HRD collection system, and/or the identify of the answerer.

4. The method of claim 2, wherein the voting algorithm specifies rules prioritizing HRD based on source of the HRD collection system, and/or the identify of the answerer.

5. The method of claim 1, wherein the analysis includes using an algorithm for tracking answerers'"'"' accuracy to accept HRD only from answerers whose accuracy rates pass a threshold, the algorithm for tracking answerers'"'"' accuracy using gold-standard tasks to track answerers'"'"' accuracy.

6. The method of claim 1, wherein the analysis includes using an algorithm for abuse detection to detect answerers who abuse the HRD collection system, the algorithm for abuse detection using timestamps and accuracy threshold to detect abuse.

7. The method of claim 1, wherein the analysis includes using an algorithm for self-validation of answers to improve the accuracy of collected HRD, the algorithm for self-validation of answers enabling creation of new HITs based on collected HRD.

8. The method of claim 2, wherein the analysis includes using an algorithm for self-validation of answers to improve the accuracy of collected HRD, the algorithm for self-validation of answers enabling creation of new HITs to send to HRD collection system when the voting algorithm fails to select the collected HRD to be sent to the requester.

9. The method of claim 1, wherein the analysis includes using an algorithm for parsing answers to extract true answers of the collected HRD from the HRD collection system.

10. The method of claim 1, wherein there is a wrapper between the data processing system and the HRD collection system, and wherein the task design component of the data processing system and the wrapper work together to transform the data request into the one or more human intelligence tasks (HITs).

11. The method of claim 7, wherein the wrapper has a library containing information specific to the HRD collection system, and wherein information in the library is used in transforming the data request into one or more HITs.

12. The method of claim 7, wherein the wrapper has one or more components, which includes a collection system parameter store, a data parameter store, a library, a data store, and a processing component.

13. The method of claim 1, wherein the respective HRD collection system is an Internet-based automated market place, where the answerer is an Internet user.

14. The method of claim 1, wherein the respective HRD collection system is an on-line discussion forum, an online application, or an online interface, whose users provide answer.

15. A system for automated collection of human-reviewed data (HRD), comprising:

a data processing system for receiving data request from a requester;

an HRD collection system for collecting HRD corresponding to a human intelligence task (HIT) generated from the data request, wherein the HRD collected are entered by an answerer interacting with the HRD collection system; and

a system with a wrapper between the data processing system and the HRD collection system, wherein the wrapper and the data processing system transform the received data request into the HIT to be sent to the HRD collection system for the answerer to view to prepare the HRD corresponding to the data request, and wherein the wrapper and the data processing system analyze the collected HRD to improve the accuracy of the HRD collected.

16. The system of claim 15, further comprises a requesting system, which is in communication with the data processing system and allows the requester to enter data request.

17. The system of claim 15, further comprises a system for the answerer, which is in communication with the HRD collection system and allows the answerer to enter the HRD corresponding to the data request.

18. The system of claim 15, wherein the data processing system includes one or more algorithms for voting, tracking answerers'"'"' accuracy, abuse detection, self-validation of answers, and parsing answers.

19. The system of claim 15, wherein the wrapper has one or more components, which includes a collection system parameter store, a data parameter store, a library, a data store, and a processing component.

20. The system of claim 19, wherein the wrapper has a library component, and wherein the information in the library component is used to transform the data request into HIT to be sent to the HRD collection system.

21. The system of claim 15, wherein the data processing system has a task design component, a task dispatcher component, a result poller component, and a result analyzer component.

22. Computer readable media including program instructions for automated collection of human-reviewed data (HRD), comprising:

program instructions for receiving a data request from a requester by a data processing system, wherein the data processing system defines a task design component, a task dispatcher component, a result poller component and a result analyzer component;

program instructions for transforming the data request into one or more human intelligence tasks (HITs) with the assistance of the task design component of the data processing system, wherein each HIT is specific to a respective HRD collection system;

program instructions for sending each HIT to the respective HRD collection system by using the task dispatcher component;

program instructions for collecting the HRD from each HRD collection system with the assistance of the result poller component, wherein the HRD is provided by an answerer based on each HIT;

program instructions for analyzing the collected HRD with the assistance of the analyzer component;

wherein the analysis improves the accuracy of the HRD collected; and

program instructions for sending the analyzed collected HRD to the requester.

23. The computer readable media of claim 22, wherein the analysis using one or more algorithms for voting, tracking answerers'"'"' accuracy, abuse detection, self-validation of answers, and parsing answers.

24. The computer readable media of claim 22, wherein there is a wrapper between the data processing system and the HRD collection system, and wherein the data processing system and the wrapper transform the data request into the one or more human intelligence tasks (HITs), which is specific to the HRD collection system.

25. The computer readable media of claim 24, wherein the wrapper has one or more components, which includes a collection system parameter store, a data parameter store, a library, a data store, and a processing component.