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✨GLORY: Global Graph-Enhanced Personalized News Recommendations

Code for our paper Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations published at RecSys 2023.

Glory Model Illustration
Glory Model Illustration

Environment

Python 3.8.10 pytorch 1.13.1+cu117

cd GLORY

apt install unzip python3.8-venv python3-pip
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
# dataset download
bash scripts/data_download.sh

# Run
python3 src/main.py model=GLORY dataset=MINDsmall reprocess=True

Bibliography

@misc{yang2023going,
      title={Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations}, 
      author={Boming Yang and Dairui Liu and Toyotaro Suzumura and Ruihai Dong and Irene Li},
      year={2023},
      publisher ={RecSys},
}

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  • Python 98.4%
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