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The following page has been changed by udanax:
http://wiki.apache.org/hama/TraditionalCollaborativeFiltering

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    public static void main(String[] args) {
      HamaConfiguration conf = new HamaConfiguration();
-     
-     Matrix userByItem = new Matrix(conf, "userByItem");
+     Matrix userByItem = new Matrix(conf, "userByItem");  
-     
+ 
-     // Build an user by item matrix 
+     // 1. Build an user by item matrix 
      for (int i = 0; i < 3; i++) {
        for (int j = 0; j < 4; j++) {
          userByItem.set(i, j, data[i][j]);
        }
      }
  
-     // Get the pair set of all row key combinations
+     // 2. Get the pair set of all row key combinations
      Combination x = new Combination(data.length, 2);
      
-     // |a|·|b|cos(q) calculation
+     // 3. |a|·|b|cos(q) calculation
      while (x.hasMore()) {
        int[] pair = x.getNext();
        System.out.print("Similarity: (" + pair[0] + ", " + pair[1] + ") = ");
@@ -38, +37 @@

        Vector v2 = userByItem.getRow(pair[1]);
        double similarity = v1.dot(v2);
  
-       // Collect the similarity result of the two users
+       // 4. Collect the similarity result of the two users
        System.out.println(similarity);
      }
  
+     // Each part can be applied to large-scale job scheduling using 
Map/Reduce.
    }
  
    static class Combination {

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