Recommendation systems have become prevalent in recent years as they dealing with the
information overload problem by suggesting users the most relevant products from a
massive amount of data. For media product, online collaborative movie recommendations
make attempts to assist users to access their preferred movies by capturing precisely similar
neighbors among users or movies from their historical common ratings. However, due to the
data sparsely, neighbor selecting is getting more difficult with the fast increasing of movies …