ctr预估深度模型
based on: tensorflow2.0
-
wide & deep
实现:
data type: csv
load data: load csv from HDFS
train: tf.estimatror.DNNLinearCombinedClassifier -
deepFM
实现:
data type: libsvm
load data: load TFRecord from HDFS
train: tf.keras -
DIN
实现:
data type: libsvm sparse features + numeric_features + candidate item goods_id + candidate item cate_id + user interest goods_id seq + user interest cate_id seq
load data: load TFRecord from HDFS
train: tf.keras -
DIEN
施工中
http://aducode.github.io/posts/2016-08-02/write2hdfsinpyspark.html
https://github.com/ymkigeg/keras-DeepFM