dssm_senet_on_taobao.config

train_input_path: "data/test/tb_data/taobao_train_data"
eval_input_path: "data/test/tb_data/taobao_test_data"
model_dir: "experiments/dssm_senet_taobao_ckpt"

train_config {
  log_step_count_steps: 100
  optimizer_config: {
    adam_optimizer: {
      learning_rate: {
        exponential_decay_learning_rate {
          initial_learning_rate: 0.001
          decay_steps: 1000
          decay_factor: 0.5
          min_learning_rate: 0.00001
        }
      }
    }
    use_moving_average: false
  }
  save_checkpoints_steps: 100
  sync_replicas: false
  num_steps: 100
}

eval_config {
  metrics_set: {
    auc {}
  }
}

data_config {
  input_fields {
    input_name:'clk'
    input_type: INT32
  }
  input_fields {
    input_name:'buy'
    input_type: INT32
  }
  input_fields {
    input_name: 'pid'
    input_type: STRING
  }
  input_fields {
    input_name: 'adgroup_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'cate_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'campaign_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'customer'
    input_type: STRING
  }
  input_fields {
    input_name: 'brand'
    input_type: STRING
  }
  input_fields {
    input_name: 'user_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'cms_segid'
    input_type: STRING
  }
  input_fields {
    input_name: 'cms_group_id'
    input_type: STRING
  }
  input_fields {
    input_name: 'final_gender_code'
    input_type: STRING
  }
  input_fields {
    input_name: 'age_level'
    input_type: STRING
  }
  input_fields {
    input_name: 'pvalue_level'
    input_type: STRING
  }
  input_fields {
    input_name: 'shopping_level'
    input_type: STRING
  }
  input_fields {
    input_name: 'occupation'
    input_type: STRING
  }
  input_fields {
    input_name: 'new_user_class_level'
    input_type: STRING
  }
  input_fields {
    input_name: 'tag_category_list'
    input_type: STRING
  }
  input_fields {
    input_name: 'tag_brand_list'
    input_type: STRING
  }
  input_fields {
    input_name: 'price'
    input_type: INT32
  }

  label_fields: 'clk'
  batch_size: 4096
  num_epochs: 10000
  prefetch_size: 32
  input_type: CSVInput
}

feature_config: {
  features: {
    input_names: 'pid'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'adgroup_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100000
  }
  features: {
    input_names: 'cate_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10000
  }
  features: {
    input_names: 'campaign_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100000
  }
  features: {
    input_names: 'customer'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100000
  }
  features: {
    input_names: 'brand'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100000
  }
  features: {
    input_names: 'user_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100000
  }
  features: {
    input_names: 'cms_segid'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100
  }
  features: {
    input_names: 'cms_group_id'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 100
  }
  features: {
    input_names: 'final_gender_code'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'age_level'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'pvalue_level'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'shopping_level'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'occupation'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
    input_names: 'new_user_class_level'
    feature_type: IdFeature
    embedding_dim: 16
    hash_bucket_size: 10
  }
  features: {
     input_names: 'tag_category_list'
     feature_type: TagFeature
     separator: '|'
     hash_bucket_size: 100000
     embedding_dim: 16
  }
  features: {
     input_names: 'tag_brand_list'
     feature_type: TagFeature
     separator: '|'
     hash_bucket_size: 100000
     embedding_dim: 16
  }
  features: {
    input_names: 'price'
    feature_type: IdFeature
    embedding_dim: 16
    num_buckets: 50
  }
}
model_config:{
  model_class: "DSSM_SENet"
  feature_groups: {
    group_name: 'user'
    feature_names: 'user_id'
    feature_names: 'cms_segid'
    feature_names: 'cms_group_id'
    feature_names: 'age_level'
    feature_names: 'pvalue_level'
    feature_names: 'shopping_level'
    feature_names: 'occupation'
    feature_names: 'new_user_class_level'
    feature_names: 'tag_category_list'
    feature_names: 'tag_brand_list'
    wide_deep:DEEP
  }
  feature_groups: {
    group_name: "item"
    feature_names: 'adgroup_id'
    feature_names: 'cate_id'
    feature_names: 'campaign_id'
    feature_names: 'customer'
    feature_names: 'brand'
    feature_names: 'price'
    feature_names: 'pid'
    wide_deep:DEEP
  }
  dssm_senet {
    user_tower {
      id: "user_id"
      senet {
        num_squeeze_group : 2
        reduction_ratio: 4
      }
      dnn {
        hidden_units: [256, 128, 64, 32]
      }
    }
    item_tower {
      id: "adgroup_id"
      senet {
        num_squeeze_group : 2
        reduction_ratio: 4
      }
      dnn {
        hidden_units: [256, 128, 64, 32]
      }
    }
    l2_regularization: 1e-6
  }
  embedding_regularization: 5e-5
}