Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/autuanliu/torchctr

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
https://github.com/autuanliu/torchctr

ctr-prediction deep-learning python36 pytorch-implementation recommendation-algorithms recommendation-system

Last synced: about 1 month ago
JSON representation

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

Host: GitHub
URL: https://github.com/autuanliu/torchctr
Owner: AutuanLiu
License: mit
Created: 2019-03-07T01:37:23.000Z (almost 6 years ago)
Default Branch: master
Last Pushed: 2022-10-15T10:44:58.000Z (about 2 years ago)
Last Synced: 2023-09-27T10:45:45.030Z (about 1 year ago)
Topics: ctr-prediction, deep-learning, python36, pytorch-implementation, recommendation-algorithms, recommendation-system
Language: Jupyter Notebook
Homepage:
Size: 4.66 MB
Stars: 9
Watchers: 3
Forks: 4
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Recommended-System-PyTorch

Recommended system(2018-2019)

**参考腾讯开源工具[PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.](https://github.com/Angel-ML/PyTorch-On-Angel)**

## Data

(**Fin**)

1. movielen data

    - [ml-latest](http://files.grouplens.org/datasets/movielens/ml-latest.zip)

    - [ml-100k](http://files.grouplens.org/datasets/movielens/ml-100k.zip)

    - [ml-1m](http://files.grouplens.org/datasets/movielens/ml-1m.zip)

    - [ml-10m](http://files.grouplens.org/datasets/movielens/ml-10m.zip)

    - [ml-20m](http://files.grouplens.org/datasets/movielens/ml-20m.zi)

2. Criteo data

    - [dac](https://s3-eu-west-1.amazonaws.com/kaggle-display-advertising-challenge-dataset/dac.tar.gz)

## Embedding

(**Fin**)

1. sparse features

2. sequence features

3. dense features

## CTR 模型

(**WIP**)

|     model      |           structure            |

| :------------: | :----------------------------: |

|       FM       |      ![FM](./imgs/FM.png)      |

|      FFM       |     ![FFM](./imgs/FFM.png)     |

| DeepFM-201703  |  ![DeepFM](./imgs/DeepFM.png)  |

|  xDeepFM-2018  | ![xDeepFM](./imgs/xDeepFM.png) |

|   AFM-201708   |     ![AFM](./imgs/AFM.png)     |

|   NFM-201708   |     ![NFM](./imgs/NFM.png)     |

|  FGCNN-201904  |   ![FGCNN](./imgs/FGCNN.png)   |

|      MLR       |     ![MLR](./imgs/MLR.png)     |

|      NFFM      |    ![NFFM](./imgs/NFFM.png)    |

|      WDL       |     ![WDL](./imgs/WDL.png)     |

|   PNN-201611   |     ![PNN](./imgs/PNN.png)     |

|      CIN       |     ![CIN](./imgs/CIN.png)     |

|  CCPM-201510   |    ![CCPM](./imgs/CCPM.png)    |

| AutoInt-201810 | ![AutoInt](./imgs/AutoInt.png) |

|   DCN-201708   |     ![DCN](./imgs/DCN.png)     |

|      DSIN      |    ![DSIN](./imgs/DSIN.png)    |

|   FNN-201601   |     ![FNN](./imgs/FNN.png)     |

|      DIEN      |    ![DIEN](./imgs/DIEN.png)    |

|   DIN-201706   |     ![DIN](./imgs/DIN.png)     |

## Refrences

1. 《推荐系统实践》

2. [email protected]:dawenl/vae_cf.git

3. [email protected]:eelxpeng/CollaborativeVAE.git

4. [email protected]:hidasib/GRU4Rec.git

5. [email protected]:hexiangnan/neural_collaborative_filtering.git

6. [email protected]:NVIDIA/DeepRecommender.git

7. [shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)