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 <[email protected]>wrote: > I am trying to find a similarities between the groups (not the users). Some > simple similarity metric (e.g. 0-1, 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? >
