<dependencies> <dependency> <groupId>org.apache.mahout</groupId> <artifactId>mahout-math</artifactId> <version>0.13.0</version> </dependency> </dependencies> import org.apache.mahout.math.DenseMatrix; import org.apache.mahout.math.RandomAccessSparseVector; import org.apache.mahout.math.SparseMatrix; import org.apache.mahout.math.Vector; import org.apache.mahout.math.decomposer.SingularValueDecomposition; public class RecommenderSystem { public static void main(String[] args) { Vector user1 = new RandomAccessSparseVector(3); user1.setQuick(0, 3.5); user1.setQuick(1, 4.0); user1.setQuick(2, 5.0); Vector user2 = new RandomAccessSparseVector(3); user2.setQuick(0, 2.5); user2.setQuick(1, 4.5); user2.setQuick(2, 3.0); Vector user3 = new RandomAccessSparseVector(3); user3.setQuick(0, 4.0); user3.setQuick(1, 3.0); user3.setQuick(2, 4.5); Matrix ratingsMatrix = new SparseMatrix(new Vector[]{user1, user2, user3}); SingularValueDecomposition decomposition = new SingularValueDecomposition(ratingsMatrix, 2, false, true, 0.01); Matrix userMatrix = decomposition.getUserMatrix(); for (int i = 0; i < userMatrix.numRows(); i++) { Vector user = userMatrix.viewRow(i); } } }