change README.md de format

eda/recommended_indexs/code/README.md

-功能：
-	从data_feed_click和data_feed_exposure两个表中统计一些推荐指标
+**功能：**<br>
+&emsp;从data_feed_click和data_feed_exposure两个表中统计一些推荐指标<br>
 
-用法：
-	用法1(推荐)：
- 		./start.sh
-	用法2(分开运行)：
-		python getRate.py
-		python getClickTimes2CountUid.py
-		python getTop100Diary.py
-		python getTop100Answer.py
-		python getTop100Question.py
+**用法：**<br>
+&emsp;用法1(推荐)：<br>
+ &emsp;&emsp;./start.sh<br>
+&emsp;用法2(分开运行)：<br>
+&emsp;&emsp;python getRate.py<br>
+&emsp;&emsp;python getClickTimes2CountUid.py<br>
+&emsp;&emsp;python getTop100Diary.py<br>
+&emsp;&emsp;python getTop100Answer.py<br>
+&emsp;&emsp;python getTop100Question.py<br>
 
-输入输出：
-	输入：无
-	输出：
-		1rate_features_yesterday.txt
-		2click_times_to_count_uid_yesterday.txt
-		3top100_ctr_diary_yesterday.txt
-		4top100_ctr_answer_yesterday.txt
-		5top100_ctr_question_yesterday.csv
-		result_all_yesterday.txt
+**输入输出：**<br>
+&emsp;输入：无<br>
+&emsp;输出：<br>
+&emsp;&emsp;1rate_features_yesterday.txt<br>
+&emsp;&emsp;2click_times_to_count_uid_yesterday.txt<br>
+&emsp;&emsp;3top100_ctr_diary_yesterday.txt<br>
+&emsp;&emsp;4top100_ctr_answer_yesterday.txt<br>
+&emsp;&emsp;5top100_ctr_question_yesterday.csv<br>
+&emsp;&emsp;result_all_yesterday.txt<br>
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