class_docstr: This prediction function calculates the prediction as the dot product between the user and item representations.
  Prediction = user_repr * item_repr
class_docstr_tok: ["This","prediction","function","calculates","the","prediction","as","the","dot","product","between","the","user","and","item","representations",".","Prediction","=","user_repr","*","item_repr"]
code: def connect_dense_prediction_graph(
      self, tf_user_representation, tf_item_representation
  ):
      return tf.matmul(
          tf_user_representation,
          tf_item_representation,
          transpose_b=True,
      )
  
file_path: tensorrec/tensorrec/prediction_graphs.py
imports: import abc
  import tensorflow
  from .recommendation_graphs import relative_cosine
label_desc: Use image node_id 1 for calling the DotProductPredictionGraph obj's underlying member method code with example usage: obj.connect_dense_prediction_graph(tf_user_representation, tf_item_representation) and returns: tf