Applying k-Separability to Collaborative Recommender Systems

Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis

Abstract: Most recommender systems have too many items to propose to too many users based on limited information. This problem is formally known as the sparsity of the ratings' matrix, because this is the st...