Hello, I have a following problem and I am trying to figure out if using Mahout is a good idea for this or perhaps there may be a much simpler approach.
Consider I have users who can belong to many groups: user1: group1, group2 user2: group2 user3: group2, group3 ... and millions more 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? Many thanks, Radek
