In this study, we use matrix factorization (Koren, 2008) to detect neighbors, which is a standard approach for recommendation (Ding et al., 2006;Li et al., 2009;.
users' rating scores of products are used to build a productusers matrix M ∈ R nt×nu with n t products and n u users.