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From Ted Dunning <>
Subject Re: Similarity between users' groups
Date Thu, 17 Feb 2011 17:42:56 GMT

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

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

> 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?

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