Data Science, Recommender Systems, Collaborative Filtering, Artificial Intelligence, Machine Learning.
s, vt = svds(A, k=2) # k is the number of factors >>> s array([ 2.75193379, 5.6059665 ]) SVD handles the problem of scalability and sparsity posed by CF successfully. However, SVD is not without flaw. The main drawback of SVD is that there is no to little explanation to the reason that we recommend