Skip to content

(CIKM 2021) CMML: Contextual Modulation Meta Learningfor Cold-Start Recommendation

Notifications You must be signed in to change notification settings

waterhorse1/CMML_pytorch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

CMML-Pytorch

Official PyTorch implementation of CMML from the paper:

CMML: Contextual Modulation Meta Learningfor Cold-Start Recommendation.

Code

We offer the code of CMML for scenario-specific setting in cmml_scenario and user-specific setting in cmml_user. You can simply check these directories for specific instructions for training on CMML and main baseline algorithms.

Cite

Please cite our paper if you use the code or datasets in your own work:

@article{feng2021cmml,
  title={CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation},
  author={Feng, Xidong and Chen, Chen and Li, Dong and Zhao, Mengchen and Hao, Jianye and Wang, Jun},
  journal={arXiv preprint arXiv:2108.10511},
  year={2021}
}

Acknowledgement

This code refers code from: ScenarioMeta wyharveychen/CloserLookFewShot lmzintgraf/cavia hoyeoplee/MeLU

About

(CIKM 2021) CMML: Contextual Modulation Meta Learningfor Cold-Start Recommendation

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages