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RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models

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@misc{zong2025recissparsedense,
      title={RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models},
      author={Hua Zong and Qingtao Zeng and Zhengxiong Zhou and Zhihua Han and Zhensong Yan and Mingjie Liu and Hechen Sun and Jiawei Liu and Yiwen Hu and Qi Wang and YiHan Xian and Wenjie Guo and Houyuan Xiang and Zhiyuan Zeng and Xiangrong Sheng and Bencheng Yan and Nan Hu and Yuheng Huang and Jinqing Lian and Ziru Xu and Yan Zhang and Ju Huang and Siran Yang and Huimin Yi and Jiamang Wang and Pengjie Wang and Han Zhu and Jian Wu and Dan Ou and Jian Xu and Haihong Tang and Yuning Jiang and Bo Zheng and Lin Qu},
      year={2025},
      eprint={2509.20883},
      archivePrefix={arXiv},
      primaryClass={cs.IR},
      url={https://arxiv.org/abs/2509.20883},
}
GitHub
RecIS
208
HTTPS
https://github.com/alibaba/RecIS
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git@github.com:alibaba/RecIS.git
CLI
gh repo clone alibaba/RecIS
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