For any one person, ranking 50 items can be a long and tedious process. For a community, however, it’s markedly easier. Rather than have each user submit a full list, we can break down the rankings into bite-size components, then recombine them once we have enough votes. Here, we’re using a modified ELO algorithm to do just that.
With ELO, each item has a starting score, which then modified in every paired matchup. The change in points is based on the score of the other item in the pairing;…
