[maemo-community] maemo.org Products karma

[From: Alexey Zakhlestin]

On Tue, Aug 18, 2009 at 1:59 PM, Andrew Flegg<andrew at bleb.org> wrote:
>
> 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).

I am not sure we should include it, as new release of app will get a
lot of new downloads from other listings, which will result in growth
of "Cool factor" automagically

> 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);

Ok. Will try it :)

> 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)...

I will publish "raw data" tomorrow.

-- 
Alexey Zakhlestin
http://www.nemein.com/
Sent from St Petersburg, Russian Federation