| 摘要 |
Method, computer-readable media, and systems for ranking content submissions and scheduling content submissions for additional voting in a distributed online community are disclosed. A statistical confidence interval is calculated for the approval ratio of each content submission based on one or more scaling formulae. A popularity ranking of the content submissions is generated based on the lower bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the popularity ranking are presented to users as the most popular content submissions. A voting priority ranking of the content submissions is generated based on the upper bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the voting priority ranking are selected as featured content submissions for additional voting. The selection of the top-ranked content submissions for additional voting is randomized based on a selected probability distribution. |
