Update docs for factorization machine layer

paddle/gserver/layers/FactorizationMachineLayer.h

@@ -36,8 +36,7 @@ namespace paddle {
  *
  * The detailed calculation for forward and backward can be found at this paper:
  *
- *     Rendle, Steffen. Factorization machines. IEEE 10th International
+ *     Factorization machines.
- *     Conference on Data Mining (ICDM). IEEE, 2010.
  *
  * The config file api is factorization_machine.
  */
@@ -59,7 +58,7 @@ private:
   // The result of input matrix * latent vector matrix that will be used in
   // both forward and backward step
   MatrixPtr inputMulFactor_;
-  // Temporary calculation result store
+  // Store temporary calculation result
   MatrixPtr tmpOut_;
   MatrixPtr tmpSum_;
   // Negative identity matrix

python/paddle/trainer_config_helpers/layers.py

@@ -7307,8 +7307,7 @@ def factorization_machine(input,
         each latent vector is k.
 
     For details of Factorization Machine, please refer to the paper:
-        Rendle, Steffen. Factorization machines. IEEE 10th International
+    Factorization machines.
-        Conference on Data Mining (ICDM). IEEE, 2010.
 
     .. code-block:: python
        factor_machine = factorization_machine(input=input_layer, factor_size=10)