A multi-level collaborative filtering method that improves recommendations
We propose a recommendation method that improves collaborative filtering. We divide the Pearson Correlation Similarity (PCC) in multiple levels. The proposed method has been tested on five real datasets. A comparison to alternative methods is provided in order to show its effectiveness.
multi-level collaborative filtering similarity hybrid recommender system