LIBMF: A Matrix-factorization Library for Recommender Systems Machine Learning Group at National Taiwan University Version 2.01 released on February 20, 2016. LIBMF can solve more formulations than its previous versions and do disk-level training. Please check [3] for the details. Introduction LIBMF is an open source tool for approximating an incomplete matrix using the product of two matrices in