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[CIKM'24] AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

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[CIKM'24] AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

Introduction

This is the Pytorch implementation for our AlignGroup paper:

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

Environment Requirement

  • python 3.9
  • Pytorch 2.1.0

Datasets

We use two public experimental datasets: Mafengwo and CAMRa2011. These two datasets' contents are in the data/ folder.

Run

# For Mafengwo 
python main.py --dataset=Mafengwo 

# For CAMRa2011 
python main.py --dataset=CAMRa2011 

For more running options, please refer to main.py

Citation

If you find AlignGroup useful in your research or applications, please kindly cite:

@inproceedings{xu2024aligngroup,
  title={AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation},
  author={Xu, Jinfeng and Chen, Zheyu and Li, Jinze and Yang, Shuo and Wang, Hewei and Ngai, Edith CH},
  booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
  pages={2682--2691},
  year={2024}
}

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[CIKM'24] AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

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