- News: We provide the code and the trained checkpoint for MIND dataset.
Pytorch Implention for Training large-scale news recommenders with pretrained language models in the loop.
pip install -r requirements.txtSee example_data/README.md for Dataset Format
python run_example.py --root_data_dir ./example_data/ --bus_connection True --content_refinement True --max_keyword_freq 100 --beta_for_cache 0.002 --max_step_in_cache 20 --mode train_test --world_size 4 --pretrained_model_path None
This command will train the SpeedyRec and test the results of AUC and Recall automatically.
More parameter information please refer to src/parameter.py
MIND News Recommendation with SpeedyRec
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.