Au contraire, you can do exactly this with an IDRescorer. Divide by (the
log of) and item's occurrences for example to penalize popular items.
I don't recommend this. Stuff like the log-likelihood metric is already in
a sense accounting for things that are just generally popular and
normalizing that away.
On Sun, Mar 25, 2012 at 1:52 PM, Steven Bourke <sbourke@gmail.com> wrote:
> You could just penalise popular items and promote rarer items from a users
> top100 recommendation list. Nothing in mahout is geared towards
> serendipity, novelty or diversity which appear to be this years interest at
> recsys (recsys.acm.org). But the jist is that its very difficult to do
> right because if you get it wrong the recommendation could really irke the
> user.
|