Implementation for classic RecommenderSystem models with Pytorch
| Model | Paper | 
|---|---|
| PMF(Probabilistic Matrix Factorization) | [NIPS 2007] Probabilistic matrix factorization | 
| CTR(Collaborative Topic Regression) | [KDD 2011] Collaborative Topic Modeling for Recommending Scientific Articles | 
| CVAE(Collaborative Variantional AutoEncoder) | [KDD 2017] Collaborative Variational Autoencoder for Recommender Systems | 
project(e.g PMF)
│
│───main.py : to run the model example with data
│
│───model.py  : the model's implementation
│
│───load_data.py  : load data from '/data/xx'
│
└─── /data
│     │
│     └─── /data_name
│               │   
│               └─── data1.txt
│               │   
│               └─── data2.dat
│               │   
│               └─── README.md
│               │   
│               │   ...