[maemo-community] maemo.org Products karma

[From: Andrew Flegg]

On Mon, Aug 17, 2009 at 23:02, Alexey Zakhlestin<indeyets at gmail.com> wrote:
>
> Formula used is:
>
> $karma = ($yesterday * 0.999)
>        + 0.1*($avg_d_week - $avg_d_last_week)
>        + 0.1*($avg_c_week - $avg_c_last_week)
>        + 0.1*($avg_v_week - $avg_v_last_week);
>
> d = downloads
> c = comments
> v = rating-votes

Right, since this is "app karma" (rather than "user karma" or "news
karma") I'd include 't' = time since last release (this information is
in the midgard db for an app). I'd also have it change slightly more
frequently, so that a new release of a popular app quickly floats to
the top, but so that the top 5 is changing relatively recently
(there's no point showing the same 5 apps all the time).

Perhaps (and this is off the top of my head):

  $karma = ($yesterday * 0.99)
         + 0.1*($avg_d_week - $avg_d_last_week)^1.5
         + 0.1*($avg_c_week - $avg_c_last_week)^1.4
         + 0.1*($avg_v_week - $avg_v_last_week)^1.6
         + 2*sqrt(gmtime() - $last_update_time);

Is the raw data available to download for experimentation? If not, how
does the formula above affect things (I suppose it's going to be
difficult to tell if no-one's updated their product in the last 19
days)...

Cheers,

Andrew

-- 
Andrew Flegg -- mailto:andrew at bleb.org  |  http://www.bleb.org/
Maemo Community Council chair