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
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