I'm using a custom PlusAnonUser recommender which is just a GenericBooleanPrefUserBasedRecommender with a PlusAnonymousUser DataModel wrapped around a GenericBooleanPrefDataModel, and a NearestNUserNeighborhood of 25. Similarity measure is LogLikelihood.
Thanks for the help! On Fri, Aug 9, 2013 at 4:13 PM, Ted Dunning <[email protected]> wrote: > On Fri, Aug 9, 2013 at 12:30 PM, Matt Molek <[email protected]> wrote: > > > From some local IR precision/recall testing, I've found that user based > > recommenders do better on my data, so I'd like to stick with user based > if > > I can. I know precision/recall measures aren't always that important when > > dealing with recommendation, but in the case I'm using the recommender > for, > > I think it's worth maximizing. I'm getting more than double the precision > > out of the user based recommenders. > > > > What kind of user based recommender are you using? > > Most competitive user based recommenders can be restated as item-based > recommenders. Those are much easier to deploy. >
