wide&deep在个性化排序算法中是影响力比较大的工作了。wide部分是手动特征交叉(负责memorization),deep部分利用mlp来实现高阶特征交叉(负责generalization),wide部分和deep部分joint train。

Deep&Cross Network模型我们下面将简称DCN模型,对比Wide & Deep ,不需要特征工程来获得高阶的交叉特征。对比 FM 系列的模型,DCN 拥有更高的计算效率并且能够提取到更高阶的交叉特征。

一个DCN模型从嵌入和堆积层开始,接着是一个交叉网络和一个与之平行的深度网络,之后是最后的组合层,它结合了两个网络的输出。完整的网络模型如图:

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" alt="DCN模型">

从网络结构上面来看,该模型是非常简单明了的,特征分为类别型与数值型,类别型特征经过 embedding 之后与数值型特征直接拼接作为模型的输入。所有的特征分别经过 cross 和 deep 网络,如果把这两个网络看作特征提取的话,经过提取后的特征向量拼接之后是常规的二分类,如果训练数据是曝光和点击,最后输出的就可以看作点击率了。

  • 离散特征嵌入

    离散特征嵌入这个想法最初来自于 Mikolov 的 word2vec 系列文章。最初解决的问题是词的独热表示过于稀疏,并且不同词之间的向量形式表示完全没有联系。具体思路在此不赘述,最终的实现是将一个上万维的词独热表示嵌入到了只有几百维的稠密向量中。而嵌入的本质其实是构建一张随机初始化的向量查找表,通过我们的训练目标做有监督学习来得到不同词在特定目标下,处于向量空间中的位置。

    将词嵌入的思路推广到其它的离散特征处理中,我们可以用同样的方法将各种类别特征如“用户性别”、“城市”、“日期”嵌入到稠密的向量空间中。经过这样处理之后,自然就解决了原本 FM 遇到的特征稀疏问题。

  • 高阶交叉特征

    在广告场景下,特征交叉的组合与点击率是有显著相关的,例如,“USA”与“Thanksgiving”、“China”与“Chinese New Year”这样的关联特征,对用户的点击有着正向的影响。

    而本文开发了一个新的算子,来得到交叉特征:

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" alt="DCN">

即,

\[x_{l+1} = x_0 x_l^T w_l + b_l + x_l = f(x_l,w_l,b_l)+x_l
\]

考虑 \(x₀\) 为输入的特征及第一层的输入,\(x\) 为 第 \(L\) 层的输入,我们可以看到它的基本思路还是用矩阵乘法来实现特征的组合。

这是个递推形式算子,所以使用它很容易能得到高于二阶的交叉特征;并且该模型还用了残差的思想,解决网络性能退化的问题;此公式还有一个小的优化技巧,三矩阵相乘那个算子,用乘法结合律先计算后面两个矩阵的积,这样可以减少三分之一的计算复杂度。

DCN实现

参考个性化排序算法实践(三)——deepFM算法,算法主框架与其类似,重点讲述DCN的实现步骤。

模型输入

模型的输入主要有下面几个部分:

self.feat_index = tf.placeholder(tf.int32,
shape=[None,None],
name='feat_index')
self.feat_value = tf.placeholder(tf.float32,
shape=[None,None],
name='feat_value') self.numeric_value = tf.placeholder(tf.float32,[None,None],name='num_value') self.label = tf.placeholder(tf.float32,shape=[None,1],name='label')
self.dropout_keep_deep = tf.placeholder(tf.float32,shape=[None],name='dropout_deep_deep')

可以看到,这里与DeepFM相比,一个明显的变化是将离散特征和连续特征分开,连续特征不在转换成embedding进行输入,所以我们的输入共有五部分。

feat_index是离散特征的一个序号,主要用于通过embedding_lookup选择我们的embedding。feat_value是对应离散特征的特征值。numeric_value是我们的连续特征值。label是实际值。还定义了两个dropout来防止过拟合。

权重构建

权重主要包含四部分,embedding层的权重,cross network中的权重,deep network中的权重以及最后链接层的权重,我们使用一个字典来表示:

def _initialize_weights(self):
weights = dict() #embeddings
weights['feature_embeddings'] = tf.Variable(
tf.random_normal([self.cate_feature_size,self.embedding_size],0.0,0.01),
name='feature_embeddings')
weights['feature_bias'] = tf.Variable(tf.random_normal([self.cate_feature_size,1],0.0,1.0),name='feature_bias') #deep layers
num_layer = len(self.deep_layers)
glorot = np.sqrt(2.0/(self.total_size + self.deep_layers[0])) weights['deep_layer_0'] = tf.Variable(
np.random.normal(loc=0,scale=glorot,size=(self.total_size,self.deep_layers[0])),dtype=np.float32
)
weights['deep_bias_0'] = tf.Variable(
np.random.normal(loc=0,scale=glorot,size=(1,self.deep_layers[0])),dtype=np.float32
) for i in range(1,num_layer):
glorot = np.sqrt(2.0 / (self.deep_layers[i - 1] + self.deep_layers[i]))
weights["deep_layer_%d" % i] = tf.Variable(
np.random.normal(loc=0, scale=glorot, size=(self.deep_layers[i - 1], self.deep_layers[i])),
dtype=np.float32) # layers[i-1] * layers[i]
weights["deep_bias_%d" % i] = tf.Variable(
np.random.normal(loc=0, scale=glorot, size=(1, self.deep_layers[i])),
dtype=np.float32) # 1 * layer[i] for i in range(self.cross_layer_num): weights["cross_layer_%d" % i] = tf.Variable(
np.random.normal(loc=0, scale=glorot, size=(self.total_size,1)),
dtype=np.float32)
weights["cross_bias_%d" % i] = tf.Variable(
np.random.normal(loc=0, scale=glorot, size=(self.total_size,1)),
dtype=np.float32) # 1 * layer[i] # final concat projection layer
input_size = self.total_size + self.deep_layers[-1] glorot = np.sqrt(2.0/(input_size + 1))
weights['concat_projection'] = tf.Variable(np.random.normal(loc=0,scale=glorot,size=(input_size,1)),dtype=np.float32)
weights['concat_bias'] = tf.Variable(tf.constant(0.01),dtype=np.float32) return weights

计算网络输入

这一块我们要计算两个并行网络的输入\(X_0\),我们需要将离散特征转换成embedding,同时拼接上连续特征:

# model
self.embeddings = tf.nn.embedding_lookup(self.weights['feature_embeddings'],self.feat_index) # N * F * K
feat_value = tf.reshape(self.feat_value,shape=[-1,self.field_size,1])
self.embeddings = tf.multiply(self.embeddings,feat_value) self.x0 = tf.concat([self.numeric_value,
tf.reshape(self.embeddings,shape=[-1,self.field_size * self.embedding_size])]
,axis=1)

Cross Network

根据论文中的计算公式,一步步计算得到cross network的输出:

# cross_part
self._x0 = tf.reshape(self.x0, (-1, self.total_size, 1))
x_l = self._x0
for l in range(self.cross_layer_num):
#x_l = tf.tensordot(tf.matmul(self._x0, x_l, transpose_b=True),self.weights["cross_layer_%d" % l],1) + self.weights["cross_bias_%d" % l] + x_l
# 注意计算顺序,可以加速很多
x_l = tf.tensordot(tf.reshape(x_l, [-1, 1, self.total_size]), self.weights["cross_layer_%d" % l], 1) * self._x0 + self.weights["cross_bias_%d" % l] + x_l self.cross_network_out = tf.reshape(x_l, (-1, self.total_size))

Deep Network

这一块就是一个多层全链接神经网络:

self.y_deep = tf.nn.dropout(self.x0,self.dropout_keep_deep[0])

for i in range(0,len(self.deep_layers)):
self.y_deep = tf.add(tf.matmul(self.y_deep,self.weights["deep_layer_%d" %i]), self.weights["deep_bias_%d"%I])
self.y_deep = self.deep_layers_activation(self.y_deep)
self.y_deep = tf.nn.dropout(self.y_deep,self.dropout_keep_deep[i+1])

Combination Layer

最后将两个网络的输出拼接起来,经过一层全链接得到最终的输出:

# concat_part
concat_input = tf.concat([self.cross_network_out, self.y_deep], axis=1) self.out = tf.add(tf.matmul(concat_input,self.weights['concat_projection']),self.weights['concat_bias'])

定义损失

这里我们可以选择logloss或者mse,并加上L2正则项:

# loss
if self.loss_type == "logloss":
self.out = tf.nn.sigmoid(self.out)
self.loss = tf.losses.log_loss(self.label, self.out)
elif self.loss_type == "mse":
self.loss = tf.nn.l2_loss(tf.subtract(self.label, self.out))
# l2 regularization on weights
if self.l2_reg > 0:
self.loss += tf.contrib.layers.l2_regularizer(
self.l2_reg)(self.weights["concat_projection"])
for i in range(len(self.deep_layers)):
self.loss += tf.contrib.layers.l2_regularizer(
self.l2_reg)(self.weights["deep_layer_%d" % I])
for i in range(self.cross_layer_num):
self.loss += tf.contrib.layers.l2_regularizer(
self.l2_reg)(self.weights["cross_layer_%d" % I])

DCN和同场景模型对比

在deepFM中, 进行了离散特征嵌入的操作,并且还将嵌入前的离散特征加入到了 FM 层;所以该网络可以看作是传统的 FM 、离散特征嵌入之后的 FM 和基本 DNN 三个模型融合的结果。

wide & deep 的思路中,deep 部分的做法和 deepFM 是大相径庭的,关键的 wide 部分其实是离线的特征工程,根据业务场景提前完成了特征交叉等处理,该模型可以看作是 DNN 与离线特征模型的融合结果。

而从 DCN 的网络中我们可以发现,deep 部分网络除了使用离散嵌入特征外,还拼接了数值型特征;cross 部分网络直接完成了特征组合,对比 FM 层它可以学到更高阶的组合特征,对比 wide 网络它不需要做线下的特征工程。

参考:

深度排序模型概述(一)Wide&Deep/xDeepFM

推荐系统遇上深度学习(五)--Deep&Cross Network模型

Github

05-11 09:32