update readme

README.md

@@ -38,19 +38,15 @@ For clarify, we use MovieLens-100k dataset as a example and treat the BPRMF meth
    python data_generator.py
    ```
 
-3.  Next,  we run the code to get the results of the teacher model. More details of arguments are available in help message : `python run_pair_mf_train.py --help`
-
-    ```python
+3. Next,  we run the code to get the results of the teacher model. More details of arguments are available in help message : `python run_pair_mf_train.py --help`
+   ```python
    python run_pair_mf_train.py --dataset=ml-100k --prepro=origin
    ```
-
 4. Finally, we train the student model and produce the refined recommendation lists on test set. More details of arguments are available in help message : `python run_trd.py --help`
-
    ```python
    python run_trd.py --dataset=ml-100k --prepro=origin --method=bprmf --n_actions=20 --pred_score=0
    ```
 
-
 ## Acknowledgements
 
 We refer to the following repositories to improve our code: