Hello All,
Can you point me to research, or have ideas about metrics of user performance? I know edit
count, and total bytes have their limitations. Right now I am counting the occurrences of
"thank" "appreciate" and "barnstar" for a User in User talk
namespace (and recursive subpages). What else is there?
Let me explain more about my current project
I am trying to develop some new techniques to measure user and article performance. I am
repurposing the bi-partite economics trade model of countries-products, but instead using
editors-articles. This means that I arrive at a new metric for users, and articles. Now I
am calibrating some of the variables in this model, by comparing my results to exogenous
variable. On pages, I use the metric that this listed pointed me to last time, like the
actionable metrics from Group lens, and cleanup tags from Stein. (Thank list!). When I
rank articles in a category using my economics method, versus the article-text methods I
acheive .7 spearman correlation. Using my count-thanks-on-user-talk method for users in
the user domain I acheive .50 spearman ranking correlation, which is still quite good, but
I want to make sure there aren't better baselines to which to compare.
Thanks,
Maximilian Klein
Wikipedian in Residence, OCLC
+17074787023