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+#  xDeepFM
+## Model description
+xDeepFM propose a novel network named Compressed Interaction Network (CIN), which aims to learn high-order feature interactions explicitly. xDeepFM can automatically learn high-order feature interactions in both explicit and implicit fashions, which is of great significance to reducing manual feature engineering work.
+## Step 1: Installing
+
+```
+git clone --recursive https://github.com/PaddlePaddle/PaddleRec.git
+cd PaddleRec
+pip3 install -r requirements.txt
+```
+
+## Step 2: Preparing datasets
+
+```
+cd PaddleRec
+cd datasets/criteo/
+sh run.sh
+```
+
+## Step 3: Training
+
+```
+cd models/rank/xdeepfm
+# train
+python3 -u ../../../tools/trainer.py -m config_bigdata.yaml
+# Eval
+python3 -u ../../../tools/infer.py -m config_bigdata.yaml
+```
+
+## Result
+| GPUs        | IPS       | AUC         |
+|-------------|-----------|-------------|
+| BI-V100x1   | 6000      | 0.7955      |