COMMUNITY INFORMATION FILTER

• US 20090089281A1
• Filed: 09/24/2008
• Published: 04/02/2009
• Est. Priority Date: 09/27/2007
• Status: Abandoned Application

• Current Assignee: Marcus New
• Original Assignee: Marcus New
• Inventors: New, Marcus
• Application Number:
  US12/237,360
• Publication Number:
  US 20090089281A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method and system to filter community information by rating members, rating their contributions, and evaluating the accuracy of predictions extracted from their contributions. These metrics can be a combination of subjective and objective factors. Subjective ratings can be weighted according to the ratings of those doing the rating.

Claims

1. A method of filtering information exchanged within a community, comprising rating information contributed by a member according to:

a) an editorial component;

b) a peer component; and

c) an objectively verifiable component.

2. A method as claimed in claim 1, further comprising rating the member according to:

a) an editorial component;

b) a peer component; and

c) an objectively verifiable component.

3. A method as claimed in claim 2, wherein rating according to a peer component includes weighting a rating assigned by a peer in accordance with the peer'"'"'s own member rating.

4. A method as claimed in claim 2, wherein at least one of the contribution rating and the member rating includes an array of ratings in a plurality of categories.

5. A method as claimed in claim 4, wherein the categories correspond to topics of information exchanged within the community.

6. A method as claimed in claim 4, wherein the categories correspond to qualities.

7. A method as claimed in claim 6 wherein the qualities include at least one of:

a) credibility;

b) clarity; and

c) utility.

8. A method as claimed in claim 2, wherein rating according to an objectively verifiable component includes:

a) extracting a prediction from a contribution;

b) accessing historical data probative to the prediction; and

c) calculating an accuracy score for the prediction as a function of the prediction and probative historical data.

9. A method as claimed in claim 8, wherein extracting a prediction from a contribution includes extracting a structured prediction from a free-form contribution.

10. A method as claimed in claim 9, wherein extracting a prediction includes parsing a contribution using natural language techniques to identify a subject.

11. A method as claimed in claim 10, wherein identifying a subject includes resolving synonymous subjects into a unique subject.

12. A method as claimed in claim 11, wherein identifying a subject includes identifying relationships to related topics.

13. A system for filtering information maintained on a community information server, comprising means for rating information contributed by a member according to:

a) an editorial component;

b) a peer component; and

c) an objectively verifiable component.

14. A system as claimed in claim 13, further comprising means for rating the member according to:

a) an editorial component;

b) a peer component; and

c) an objectively verifiable component.

15. A system as claimed in claim 14, wherein the means for rating according to a peer component includes means for weighting a rating assigned by a peer in accordance with the peer'"'"'s own member rating.

16. A system as claimed in claim 14, wherein at least one of the contribution rating and the member rating includes an array of ratings in a plurality of categories.

17. A system as claimed in claim 16, wherein the categories correspond to topics of information exchanged within the community.

18. A system as claimed in claim 16, wherein the categories correspond to qualities.

19. A system as claimed in claim 18 wherein the qualities include at least one of:

a) credibility;

b) clarity; and

c) utility.

20. A system as claimed in claim 14, wherein the means for rating according to an objectively verifiable component includes:

a) means for extracting a prediction from a contribution;

b) means for accessing historical data probative to the prediction; and

c) means for calculating an accuracy score for the prediction as a function of the prediction and probative historical data.

21. A system as claimed in claim 20, wherein the means for extracting a prediction from a contribution includes means for extracting a structured prediction from a free-form contribution.

22. A system as claimed in claim 21, wherein the means for extracting a prediction includes means for parsing a contribution using natural language techniques to identify a subject.

23. A system as claimed in claim 22, wherein the means for identifying a subject includes means for resolving synonymous subjects into a unique subject.

24. A system as claimed in claim 23, wherein the means for identifying a subject includes means for identifying relationships to related topics.