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The code for ICDE2023 paper "Neural Node Matching for Multi-Target Cross Domain Recommendation".

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NMCDR

This repository is the official code for ICDE2023 paper "Neural Node Matching for Multi-Target Cross Domain Recommendation".
By Wujiang Xu, Shaoshuai Li, Mingming Ha et al.

Data Processing

  1. Download Amazon data from the url "http://jmcauley.ucsd.edu/data/amazon/index_2014.html".
  2. Process the data by

python3 process.py #1st step
python3 filter_dataset.py #2nd step

Train the Model

python3 train_matching.py

Future Work

More detailed parameters descirption.

Citation

If you found the codes are useful, please cite our paper.

  @inproceedings{xu2023neural,
  title = {Neural Node Matching for Multi-Target Cross Domain Recommendation},
  author = {Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen and Zhenfeng Zhu},
  booktitle = {	The IEEE International Conference on Data Engineering 2023 (ICDE2023)},
  year = {2023}
  }

Contact us

Please feel free to contact us with the email to W. Xu "wujiang dot xu at rutgers dot edu" or "swustimp at gmail dot com".

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The code for ICDE2023 paper "Neural Node Matching for Multi-Target Cross Domain Recommendation".

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