In addition, it is by nature impossible to predict whether a new (i.e., nonexistent in the data) user agrees or disagrees with given topics.
in this section, we apply matrix factorization (Koren et al., 2009) in order to predict missing values, inspired by research regarding item recommendation (Bell and Koren, 2007;Dror et al., 2011).