Recently, rating prediction algorithms that are based on matrix factorization have become increasingly popular, due to their high accuracy and scalability (Koren, Bell, and Volinsky 2009).
such algorithms often deliver inaccurate rating predictions for users with few ratings (this is known as the new user problem).