Integrated into https://github.com/yusanshi/NewsRecommendation. This repository is currently read-only.
An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.
Basic setup.
git clone https://github.com/yusanshi/DKN
cd DKN
pip3 install -r requirements.txtDownload the dataset.
mkdir data && cd data
# By downloading the dataset, you agree to the [Microsoft Research License Terms](https://go.microsoft.com/fwlink/?LinkID=206977). For more detail about the dataset, see https://msnews.github.io/.
wget https://mind201910small.blob.core.windows.net/release/MINDsmall_train.zip https://mind201910small.blob.core.windows.net/release/MINDsmall_dev.zip
sudo apt install unzip
unzip MINDsmall_train.zip -d train
unzip MINDsmall_dev.zip -d test
rm MINDsmall_*.zip
# Preprocess data into appropriate format
cd ..
python3 src/data_preprocess.py
# Remember you shoud modify `num_word_tokens` in `src/config.py` by the output of `src/data_preprocess.py`Run.
python3 src/train.py
python3 src/inference.py
python3 src/evaluate.py
# or use `run.sh` to compare the result with or without context embedding, attention mechanism.
chmod +x run.sh
./run.shYou can visualize the training loss and accuracy with TensorBoard.
tensorboard --logdir=runsNote the metrics in validation will differ greatly with final result on evaluation set. You should use it for reference only.
- Dataset by MIcrosoft News Dataset (MIND), see https://msnews.github.io/.