Well right now, I am only using one boolean file -just from from this history of reading. So you are saying the values generated in the GenericBooleanPrefUserBasedRecommender is actually useless in this case of no ratings and that it is merely based on the similarity only?
* Agata Filiana Erasmus Mundus DMKM Student 2011-2013 <http://www.em-dmkm.eu/> * On 16 April 2013 16:09, Sean Owen <sro...@gmail.com> wrote: > In the usual recommender, the output is a weighted average of ratings. > In a model where there are no ratings, this has no meaning -- > everything is "1" implicitly. So the output is something else, and > here it's a sum of similarities actually. > > On Tue, Apr 16, 2013 at 3:05 PM, Agata Filiana <a.filian...@gmail.com> > wrote: > > Sorry my mistake! > > LogLikelihoodSimilarity is giving me [0,1], however when I > > call GenericBooleanPrefUserBasedRecommender for the recommendation it is > > not giving me values [0,1]. That's what I meant. > > >
