> You'll be willing to look at GenericBooleanPrefDataModel, > GenericItemBasedRecommender, GenericBooleanPrefUserBasedRecommender > and similarities supporting boolean preferences like Tanimoto and > LogLikelihood.
Thanks a lot, this is really helpful, I missed that. One problem with these kind of recommender based on implicit ratings (user x bought item y) is that there are no evaluator for them. I have to say it is not even clear to me what such an evaluator should actually evaluate. Any references on document on the subject would be really appreciated.
