| similarity_user = train_matrix.dot(train_matrix.T) + 1e-9 | |
| norms = np.array([np.sqrt(np.diagonal(similarity_user))]) | |
| similarity_user = ( similarity_user / (norms * norms.T) ) | |
| similarity_movie = train_matrix.T.dot(train_matrix) + 1e-9 | |
| norms = np.array([np.sqrt(np.diagonal(similarity_movie))]) | |
| similarity_movie = ( similarity_movie / (norms * norms.T) ) |
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