/SAMN

This is our implementation of SAMN: Social Attentional Memory Network

Primary LanguagePython

SAMN

This is our implementation for the paper:

Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma. 2019. Social Attentional Memory Network: Modeling Aspect- and Friend-level Differences in Recommendation In WSDM'19.

Please cite our WSDM'19 paper if you use our codes. Thanks!

@inproceedings{chen2019social,
  title={Social Attentional Memory Network: Modeling Aspect-and Friend-Level Differences in Recommendation},
  author={Chen, Chong and Zhang, Min and Liu, Yiqun and Ma, Shaoping},
  booktitle={Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
  pages={177--185},
  year={2019},
  organization={ACM}
}

Author: Chong Chen (cstchenc@163.com)

Environments

  • python 2.7
  • Tensorflow (version: 1.7.0)
  • numpy
  • pandas

Example to run the codes

Train and evaluate the model:

python SAMN.py

Last Update Date: February 21, 2019