Computer-Implemented Systems And Methods For Ranking Results Based On Voting And Filtering

• US 20120303422A1
• Filed: 05/27/2011
• Published: 11/29/2012
• Est. Priority Date: 05/27/2011
• Status: Abandoned Application

• Current Assignee: Minted LLC
• Original Assignee: Minted LLC
• Inventors: Li, Diran, Tanaka, Wesley
• Application Number:
  US13/117,949
• Publication Number:
  US 20120303422A1
• Time in Patent Office: Days
• US Class Current: 705/12
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management

Abstract

Systems and methods are provided for filtering a pool of image designs. Votes for a plurality of image designs are received, the votes forming a distribution across the pool of image designs. A mean, a confidence interval, and a minimum are determined for the distribution based on the plurality of votes. A determination is made as to whether a break-point threshold has been reached for the pool of image designs, where the break-point threshold is based on the mean, the confidence interval, and the minimum. A further determination is made as to whether each particular design should be removed from consideration after the break-point threshold has been met, where a particular design is removed from consideration based on a mean of votes for the particular design and a confidence interval for the particular design. Image designs that have not been removed from consideration are then given preferential treatment when selecting the images to display.

Claims

1. A computer-implemented method of filtering a pool of image designs, comprising:

receiving votes for a plurality of image designs, the votes forming a distribution across the pool of image designs;

determining a mean, a confidence interval, and a minimum for the distribution based on the plurality of votes;

determining whether a break-point threshold has been reached for the pool of image designs, wherein the break-point threshold is based on the mean, the confidence interval, and the minimum;

determining whether a particular design should be removed from consideration after the break-point threshold has been met, the particular design being removed from consideration based on a mean of votes for the particular design and a confidence interval for the particular design; and

displaying image designs based on whether or not they have been removed from consideration.

2. The method of claim 1, wherein the break-point threshold requires a statistically significant number of votes be received for the pool of image designs before the particular image design is evaluated for removal from consideration.

3. The method of claim 1, wherein a time period before the break-point threshold has been reached is a data gathering time period, and wherein a time period after the break-point threshold has been reached is a data filtering time period.

4. The method of claim 1, wherein the break-point threshold is reached when:

α

<

mean(X) and β

>

size(CI),

where α

is the mean for the distribution threshold and β

is the confidence interval threshold, wherein mean(X) is the mean for the distribution and size(CI) is the width of the confidence interval for the distribution.

5. The method of claim 4, wherein the break-point is also reached when the minimum number of votes per design across all designs reaches a predetermined value, Ω

.

6. The method of claim 1, wherein whether a particular design should be removed from consideration is based on a minimum number of image designs to retain.

7. The method of claim 6, wherein the minimum number of image designs to retain is calculated according to γ

_i=n−

50×

(i+1),

where γ

_i is the minimum number of image designs to retain, n is a total number of image designs in the pool of image designs, and i is a number of filtering rounds performed or a time value.

8. The method of claim 7, wherein the minimum number of image designs to retain is at least Γ

image designs.

9. The method of claim 6, wherein the particular design is determined to be removed from consideration when the mean of votes for the particular design is outside of the top δ

_i image designs and the confidence interval for the particular design does not overlap a confidence interval for any other designs in the top δ

_i image designs.

10. The method of claim 1, wherein votes from particular voters are ignored.

11. The method of claim 10, further comprising:

displaying voting parameters for a particular voter; and

receiving a command to ignore votes for the particular voter.

12. The method of claim 11, wherein the voting parameters include one or more of:

a user name, a vote mean, a vote median, a vote standard deviation, and a vote distribution.

13. The method of claim 11, wherein the voting parameters include a voting level parameter, wherein the voting level parameter identifies the particular voter as a heavy voter or a light voter.

14. The method of claim 11, wherein the voting parameters including a voting level parameter, wherein the voting level parameter identifies the harshness of a particular voter.

15. The method of claim 1, wherein the determination of whether a particular design should be removed from consideration includes multiple means and multiple confidence intervals calculated over subsets of voters such as heavy voters and light voters, or harsh voters and forgiving voters.

16. The method of claim 1, further comprising:

receiving additional votes for the plurality of image designs;

further filtering the image designs based on the additional votes.

17. The method of claim 1, wherein image designs that have been removed from consideration are displayed less frequently than image designs that have been removed from consideration.

18. The method of claim 1, wherein image designs that have been removed from consideration are no longer displayed.

19. A computer-implemented system for filtering a pool of image designs, comprising:

one or more data processors;

one or more computer-readable storage mediums containing instructions for commanding the one or more data processors to execute steps that include;

receiving votes for a plurality of image designs, the votes forming a distribution across the pool of image designs;

determining a mean, a confidence interval, and a minimum for the distribution based on the plurality of votes;

determining whether a break-point threshold has been reached for the pool of image designs, wherein the break-point threshold is based on the mean, the confidence interval, and the minimum;

determining whether a particular design should be removed from consideration after the break-point threshold has been met, the particular design being removed from consideration based on a mean of votes for the particular design and a confidence interval for the particular design; and

displaying image designs based on whether or not they have been removed from consideration.

20. One or more computer-readable mediums containing instructions for commanding one or more data processors to execute a method for filtering a pool of image designs, comprising:

receiving votes for a plurality of image designs, the votes forming a distribution across the pool of image designs;

determining a mean, a confidence interval, and a minimum for the distribution based on the plurality of votes;

determining whether a break-point threshold has been reached for the pool of image designs, wherein the break-point threshold is based on the mean, the confidence interval, and the minimum;

determining whether a particular design should be removed from consideration after the break-point threshold has been met, the particular design being removed from consideration based on a mean of votes for the particular design and a confidence interval for the particular design; and

displaying image designs based on whether or not they have been removed from consideration.