-Precision/Recall for GenericBooleanPrefUserBasedRecommender
Janina 2012-04-10, 12:54
currently I am implementing a recommender based on a boolean pref data
model. I have to evaluate this recommender and I have tried to use the
precision and recall measurements Mahout provides. In Mahout-in-Action it
"There isn’t even a notion of relative preference on which to select
a subset of good items. The best the test can do is randomly select some
preferred items as the good ones."
Does this mean the notion of what is good is really just random? Do you
maybe have another idea what I can use to evaluate my recommender? Or do I
have to manually define what is good to test the recommender? This would be
very hard because of the large data set I use...
Thanks a lot and greetings,