diff --git a/ctr/README.md b/ctr/README.md
index ab757bbcc964a281086883840f380f65a0938ea6..419abc8670e4337149f67dae26b2df882a82c32c 100644
--- a/ctr/README.md
+++ b/ctr/README.md
@@ -1,24 +1,8 @@
 # Click-Through Rate Prediction
 
-以下是本例目录包含的文件以及对应说明:
-
-```
-├── README.md               # 本教程markdown 文档
-├── dataset.md              # 数据集处理教程
-├── images                  # 本教程图片目录
-│   ├── lr_vs_dnn.jpg
-│   └── wide_deep.png
-├── infer.py                # 预测脚本
-├── network_conf.py         # 模型网络配置
-├── reader.py               # data reader
-├── train.py                # 训练脚本
-└── utils.py                # helper functions
-└── avazu_data_processer.py # 示例数据预处理脚本
-```
-
 ## Introduction
 
-CTR(Click-Through Rate，点击率预估)\[[1](https://en.wikipedia.org/wiki/Click-through_rate)\]
+CTR(Click-Through Rate)\[[1](https://en.wikipedia.org/wiki/Click-through_rate)\]
 is a prediction of the probability that a user clicks on an advertisement. This model is widely used in the advertisement industry. Accurate click rate estimates are important for maximizing online advertising revenue.
 
 When there are multiple ad slots, CTR estimates are generally used as a baseline for ranking. For example, in a search engine's ad system, when the user enters a query, the system typically performs the following steps to show relevant ads.
diff --git a/ctr/index.html b/ctr/index.html
index 2ae045dcdc77bfc1599deb116f9dfee16af101e9..17022e45b2cdc43f5cdbbdcf8f6cd2ab61a7c66e 100644
--- a/ctr/index.html
+++ b/ctr/index.html
@@ -42,25 +42,9 @@
 <div id="markdown" style='display:none'>
 # Click-Through Rate Prediction
 
-以下是本例目录包含的文件以及对应说明:
-
-```
-├── README.md               # 本教程markdown 文档
-├── dataset.md              # 数据集处理教程
-├── images                  # 本教程图片目录
-│   ├── lr_vs_dnn.jpg
-│   └── wide_deep.png
-├── infer.py                # 预测脚本
-├── network_conf.py         # 模型网络配置
-├── reader.py               # data reader
-├── train.py                # 训练脚本
-└── utils.py                # helper functions
-└── avazu_data_processer.py # 示例数据预处理脚本
-```
-
 ## Introduction
 
-CTR(Click-Through Rate，点击率预估)\[[1](https://en.wikipedia.org/wiki/Click-through_rate)\]
+CTR(Click-Through Rate)\[[1](https://en.wikipedia.org/wiki/Click-through_rate)\]
 is a prediction of the probability that a user clicks on an advertisement. This model is widely used in the advertisement industry. Accurate click rate estimates are important for maximizing online advertising revenue.
 
 When there are multiple ad slots, CTR estimates are generally used as a baseline for ranking. For example, in a search engine's ad system, when the user enters a query, the system typically performs the following steps to show relevant ads.