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 <[email protected]> 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. >
