I am working on two simple recommender systems - Collaborative (item-item a user-user) and Content Based. I would like to evaluate prediction accuracy of these systems.
I am used to divide dataset into two parts - training set and evaluation dataset. Is it needed to do in Recommender systems? I have no idea how to do it, because there is no learned "model" and predictions computation is based on similarities.