CollaborativeDeepLearning-TensorFlow

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CollaborativeDeepLearning-TensorFlow

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Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD

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This is the author's officially unofficial TensorFlow implementation of CDL. Note that the code is a simplified version of CDL and is used for demonstration only.

#### To train the model
* pretrain model (CDL)
    run 'python train_sdae.py'
* train CDL
    run 'python train_cdl.py'

#### To evaluate performance
* run lib/mainEvaluate.m under Matlab

#### Other materials

* More details on the work and some direct extensions can be found at http://wanghao.in/CDL.htm.

* Matlab version for full CDL: https://github.com/js05212/CDL.

* MXNet version for simplified CDL: https://github.com/js05212/MXNet-for-CDL.

* Data: https://www.wanghao.in/data/ctrsr_datasets.rar.

* Slides: http://wanghao.in/slides/CDL_slides.pdf and http://wanghao.in/slides/CDL_slides_long.pdf.

#### Other implementations (third-party):

* [Tensorflow code](https://github.com/gtshs2/Collaborative_Deep_Learning) by [gtshs2](https://github.com/gtshs2).

* [Keras code](https://github.com/zoujun123/Keras-CDL) by [zoujun123](https://github.com/zoujun123).

* [Python code](https://github.com/xiaoouzhang/Collaborative-Deep-Learning-for-Recommender-Systems) by [xiaoouzhang](https://github.com/xiaoouzhang).

#### Acknowledgement

* This code is based on my original [Matlab implementation of CDL](https://github.com/js05212/CDL), the [MXNet version](https://github.com/js05212/MXNet-for-CDL), as well as [Xiaopeng Li's Tensorflow code](https://github.com/eelxpeng/CollaborativeVAE).

#### Reference:
[Collaborative Deep Learning for Recommender Systems](http://wanghao.in/paper/KDD15_CDL.pdf)
```
@inproceedings{DBLP:conf/kdd/WangWY15,
  author    = {Hao Wang and
               Naiyan Wang and
               Dit{-}Yan Yeung},
  title     = {Collaborative Deep Learning for Recommender Systems},
  booktitle = {SIGKDD},
  pages     = {1235--1244},
  year      = {2015}
}

```
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