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enmf's Introduction

ENMF

This is our implementation of Efficient Neural Matrix Factorization, which is a basic model of the paper:

Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu and Shaoping Ma. 2019. An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. In SIGIR'19.

This is also the codes of the TOIS paper:

Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu and Shaoping Ma. 2020. Efficient Neural Matrix Factorization without Sampling for Recommendation. In TOIS Vol. 38, No. 2, Article 14.

Please cite our SIGIR'19 paper or TOIS paper if you use our codes. Thanks!

@inproceedings{chen2019efficient,
  title={An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation},
  author={Chen, Chong and Zhang, Min and Wang, Chenyang and Ma, Weizhi and Li, Minming and Liu, Yiqun and Ma, Shaoping},
  booktitle={Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={225--234},
  year={2019},
  organization={ACM}
}
@article{10.1145/3373807, 
author = {Chen, Chong and Zhang, Min and Zhang, Yongfeng and Liu, Yiqun and Ma, Shaoping}, 
title = {Efficient Neural Matrix Factorization without Sampling for Recommendation}, 
year = {2020}, 
issue_date = {January 2020}, 
publisher = {Association for Computing Machinery}, 
volume = {38}, 
number = {2}, 
issn = {1046-8188}, 
url = {https://doi.org/10.1145/3373807}, 
doi = {10.1145/3373807}, 
journal = {ACM Trans. Inf. Syst.}, 
month = jan, 
articleno = {Article 14}, 
numpages = {28}
}

Author: Chong Chen ([email protected])

Environments

  • python
  • Tensorflow
  • numpy
  • pandas

Example to run the codes

Train and evaluate the model:

python ENMF.py

Last Update Date: May 9, 2019

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