On Wed, Jul 28, 2010 at 7:03 AM, Ted Dunning <[email protected]> wrote: > On Wed, Jul 28, 2010 at 1:02 AM, Tanton Gibbs <[email protected]>wrote: > >> Another thing to consider in this same vein is that 1 or 2 clicks on a >> resource may indicate a very strong preference (if the topic is >> generally unpopular) or it may indicate a very weak preference (if the >> topic is highly popular). You should consider how other users are >> interacting with this and other similar resources to help determine >> satisfaction. >> > > The recommendation system should handle this. The log-likelihood similarity > thing-thing is the one I would recommend starting with.
Very cool, I didn't realize it handled item similarity alongside user similarity.
