It should be pretty easy to use any of the vectorizing code that is coming out just now to build vectors out of this data. Minor reformatting is likely necessary that is probably best done by augmenting the input parsing for the vectorizer.
Take a look at the active JIRA's for more info. See, for instance, https://issues.apache.org/jira/browse/MAHOUT-237 On Sat, Feb 6, 2010 at 8:07 AM, Matthew Bryan <[email protected]> wrote: > Is there a straightforward way to take a preference file that's used > for a recommender (user_id, item_id, preference) and turn it into a > vector that can be used for clustering? As part of my evaluation of > Mahout I'd also like to cluster items and see how those simple > clusters perform. > > Thanks! > > Matthew Bryan > -- Ted Dunning, CTO DeepDyve
