Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems

Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This difference in user behavior can have a profound impact on the performance of the recommender system. Users receive better (or worse) recommendations depending on the quantity and the quality of the informatio...More