diff --git a/fluid/PaddleRec/gru4rec/README.md b/fluid/PaddleRec/gru4rec/README.md
index 9c4a5247fe2ecb64e79ba96e0922f0fd1750aa8e..353781567f7012996199e51169233b306cd18722 100644
--- a/fluid/PaddleRec/gru4rec/README.md
+++ b/fluid/PaddleRec/gru4rec/README.md
@@ -249,10 +249,10 @@ model saved in model_recall20/epoch_1
 ```
 
 ## 预测
-运行命令 开始预测.
+运行命令 全词表运行infer.py, 负采样运行infer_sample_neg.py。
 
 ```
-CUDA_VISIBLE_DEVICES=0 python infer.py --test_dir test_data/ --model_dir model_recall20/ --start_index 1 --last_index 10 --use_cuda 1
+CUDA_VISIBLE_DEVICES=0 python infer.py --test_dir test_data/ --model_dir model_output/ --start_index 1 --last_index 10 --use_cuda 1
 ```
 
 ## 预测结果示例
diff --git a/fluid/PaddleRec/gru4rec/infer.py b/fluid/PaddleRec/gru4rec/infer.py
index a5da585ac23e6f65213b358c9d16ed10fb091b05..ec113260bb4391cb970c515a2c958ae71b6176b7 100644
--- a/fluid/PaddleRec/gru4rec/infer.py
+++ b/fluid/PaddleRec/gru4rec/infer.py
@@ -63,7 +63,8 @@ def infer(test_reader, use_cuda, model_path):
             accum_num_sum += (data_length)
             accum_num_recall += (data_length * acc_)
             if step_id % 1 == 0:
-                print("step:%d  " % (step_id), accum_num_recall / accum_num_sum)
+                print("step:%d  recall@20:%.4f" %
+                      (step_id, accum_num_recall / accum_num_sum))
         t1 = time.time()
         print("model:%s recall@20:%.3f time_cost(s):%.2f" %
               (model_path, accum_num_recall / accum_num_sum, t1 - t0))
diff --git a/fluid/PaddleRec/gru4rec/infer_sample_neg.py b/fluid/PaddleRec/gru4rec/infer_sample_neg.py
index 0915fe18d571ba459930960d7a39735dc075c930..8839d6ceee2959b81edc2e50ef3b7ae9049c1a1f 100644
--- a/fluid/PaddleRec/gru4rec/infer_sample_neg.py
+++ b/fluid/PaddleRec/gru4rec/infer_sample_neg.py
@@ -21,7 +21,7 @@ def parse_args():
     parser.add_argument(
         '--last_index', type=int, default='3', help='last index')
     parser.add_argument(
-        '--model_dir', type=str, default='model_bpr_recall20', help='model dir')
+        '--model_dir', type=str, default='model_neg_recall20', help='model dir')
     parser.add_argument(
         '--use_cuda', type=int, default='0', help='whether use cuda')
     parser.add_argument(
@@ -76,8 +76,8 @@ def infer(args, vocab_size, test_reader, use_cuda):
                     accum_num_sum += (data_length)
                     accum_num_recall += (data_length * acc_)
                     if step_id % 1 == 0:
-                        print("step:%d  " % (step_id),
-                              accum_num_recall / accum_num_sum)
+                        print("step:%d  recall@20:%.4f" %
+                              (step_id, accum_num_recall / accum_num_sum))
                 t1 = time.time()
                 print("model:%s recall@20:%.4f time_cost(s):%.2f" %
                       (model_path, accum_num_recall / accum_num_sum, t1 - t0))
diff --git a/fluid/PaddleRec/gru4rec/train_sample_neg.py b/fluid/PaddleRec/gru4rec/train_sample_neg.py
index 1b1736cf937723bc86693c0d8cd39e579735f129..2642452024810fe16cfa1154e273febdb1d63254 100644
--- a/fluid/PaddleRec/gru4rec/train_sample_neg.py
+++ b/fluid/PaddleRec/gru4rec/train_sample_neg.py
@@ -29,7 +29,7 @@ def parse_args():
     parser.add_argument(
         '--loss', type=str, default="bpr", help='loss: bpr/cross_entropy')
     parser.add_argument(
-        '--model_dir', type=str, default='model_bpr_recall20', help='model dir')
+        '--model_dir', type=str, default='model_neg_recall20', help='model dir')
     parser.add_argument(
         '--batch_size', type=int, default=5, help='num of batch size')
     parser.add_argument(