diff --git a/youtube_recall/README.md b/youtube_recall/README.md
index 29a1d0530a55c2751a05a67b664a7bfe65f21a9f..1c669e757353d8c6a08e2ac54cca2e38956db5a4 100644
--- a/youtube_recall/README.md
+++ b/youtube_recall/README.md
@@ -75,10 +75,9 @@ The fucntion of this script is as follows:
 - Filter low-frequency features\[[2](#References)\], which appears less than `feat_appear_limit` times.
 - Encode features, and generate dictionary `feature_dict.pkl`.
 - Count the probability of each video appears and write into `item_freq.pkl`, and provide it to NCE layer.
-```
 
 For example, run the following command to accomplish data pre-processing:
-```shell
+```
 mkdir output
 python data_processor.py --train_set_path=./data/train.txt \
                                      --output_dir=./output \