Yes.
Simply transpose your data and then use standard similarity techniques.
Transposition in this case means that you would reformulate your data to be
group1: user ... user
In practice, the standard input form for Mahout recommendations is more like
this:
user group rating
where your ratings will always be 1. Simply redesignation of the two first
columns suffices to transpose data like this.
On Thu, Feb 17, 2011 at 3:34 AM, Radek Maciaszek
<radek.maciaszek@gmail.com>wrote:
> I am trying to find a similarities between the groups (not the users). Some
> simple similarity metric (e.g. 01, close to 0 for not similar at all,
> close
> to 1 very similar) would be ideal. So essentially I need to calculate such
> a
> metric for every pair of groups.
>
> Is it something Mahout can help me with?
>
