Novel Perspectives in Collaborative Filtering Recommender Systems
Panagiotis Adamopoulos · 2014
This paper proposes a number of studies in order to move recommender systems beyond the traditional paradigm and the classical perspective of rating prediction accuracy. We contribute to existing helpful but less explored recommen-dation strategies and also propose new approaches aiming at more useful recommendations for both users and busi-nesses. Working toward this direction, we discuss the stud-ies we have conducted so far and present our future research plans. The overall goal of this research program is to move our focus from even more accurate rating predictions and aims at offering a holistic experience to the users by avoid-ing the over-specialization and concentration problems and providing the users with non-obvious but high quality per-sonalized recommendations that they will remarkably like.