/CDR

This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"

Primary LanguagePython

Curriculum_disentangled_recommendation

overall description

This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation with Noisy Multi-feedback"

This implementation has small differences with the published paper by assigning some terms with hyperparameter coefficients to fit more situtations.

requirements

python = 2.7.15

tensorflow = 1.13.1

data

Download the data from the dataset with code "yhoh", after downloading the data, put it under the sports_prep folder and then run the run_CL.sh, you can reproduce the results for the amazon_sports.

citation

If you use this repository, please cite the following paper,

@article{chen2021curriculum,

title={Curriculum Disentangled Recommendation with Noisy Multi-feedback},

author={Chen, Hong and Chen, Yudong and Wang, Xin and Xie, Ruobing and Wang, Rui and Xia, Feng and Zhu, Wenwu},

journal={Advances in Neural Information Processing Systems},

volume={34},

year={2021} }