add share-bottom

Author: frankwhzhang

README.md

@@ -69,10 +69,10 @@
     |   排序   |                    [FGCNN](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rank/fgcnn/)                    |    ✓    |    ✓    |     ✓     |     ✓     | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [WWW 2019][Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction](https://arxiv.org/pdf/1904.04447.pdf)                                                                      |
     |   排序   |                  [Fibinet](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rank/fibinet/)                  |    ✓    |    ✓    |     ✓     |     ✓     | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [RecSys19][FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction]( https://arxiv.org/pdf/1905.09433.pdf)                                                 |
     |   排序   |                     [Flen](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rank/flen/)                     |    ✓    |    ✓    |     ✓     |     ✓     | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [2019][FLEN: Leveraging Field for Scalable CTR Prediction]( https://arxiv.org/pdf/1911.04690.pdf)                                                                                                           |
-    |  多任务  |                  PLE                   |    ✓    |    ✓    |     ✓     |     ✓     |  1.8.5 | [RecSys 2020][Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations](https://dl.acm.org/doi/abs/10.1145/3383313.3412236)                                                              |
+    |  多任务  |                  [PLE](models/multitask/ple)                   |    ✓    |    ✓    |     ✓     |     ✓     |  2.0 | [RecSys 2020][Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations](https://dl.acm.org/doi/abs/10.1145/3383313.3412236)                                                              |
     |  多任务  |                  [ESMM](models/multitask/esmm/)                   |    ✓    |    ✓    |     ✓     |     ✓     | 2.0 | [SIGIR 2018][Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate](https://arxiv.org/abs/1804.07931)                                                              |
     |  多任务  |                  [MMOE](models/multitask/mmoe/)                   |    ✓    |    ✓    |     ✓     |     ✓     | 2.0 | [KDD 2018][Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts](https://dl.acm.org/doi/abs/10.1145/3219819.3220007)                                                       |
-    |  多任务  |           [ShareBottom](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/multitask/share-bottom/)           |    ✓    |    ✓    |     ✓     |     ✓     | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [1998][Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf)                                                                                                               |
+    |  多任务  |           [ShareBottom](models/multitask/share_bottom/)           |    ✓    |    ✓    |     ✓     |     ✓     | 2.0 | [1998][Multitask learning](http://reports-archive.adm.cs.cmu.edu/anon/1997/CMU-CS-97-203.pdf)                                                                                                               |
     |  重排序  |                [Listwise](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5/models/rerank/listwise/)                |    ✓    |    ✓    |     ✓     |     x     | [1.8.5](https://github.com/PaddlePaddle/PaddleRec/tree/release/1.8.5) | [2019][Sequential Evaluation and Generation Framework for Combinatorial Recommender System](https://arxiv.org/pdf/1902.00245.pdf)                                                                           |