embedding_size: 64              # (int) The embedding size of user. 
dropout_prob: 0.7               # (float) The dropout ratio of the embedding.
reg_weight: 0.0                 # (float) L2-regularization weight.
negative_weight: 0.5            # (float) The weight of non-observed data.