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Implementation of CANTOR proposed in " Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems" (WWW'20)

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CANTOR

Implementation of CANTOR proposed in " Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems" (WWW'20)

This repository is still under construction for better documentation and readability.

Reference

@inproceedings{jiang2020clustering,
  title={Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems},
  author={Jiang, Jyun-Yu and Chen, Patrick H and Hsieh, Cho-Jui and Wang, Wei},
  booktitle={Proceedings of The Web Conference 2020},
  pages={2177--2187},
  year={2020}
}

Jiang, J. Y., Chen, P. H., Hsieh, C. J., & Wang, W. (2020, April). Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. In Proceedings of The Web Conference 2020 (pp. 2177-2187).

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Implementation of CANTOR proposed in " Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems" (WWW'20)

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