Collaborative IPTV content recommendation method using an implicit attribute preference

This paper proposes a method using an implicit item attribute rating for a user. The method improves preference rating prediction accuracy of collaborative filtering-based IPTV content recommender systems by ameliorating the data sparsity problem. We confirmed that the method is robust in regards to the data sparsity problem found in collaborative filtering through various experiments.