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RecL-25m

RecL-25m is a real-world dataset collected by tracking the behaviors of 99,899 users for months and recording their long-term engagement indicators.

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Cite this as

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang (2025). Dataset: RecL-25m. https://doi.org/10.57702/ag8a690t

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Additional Info

Field Value
Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2206.02620
Author Qingpeng Cai
More Authors
Zhenghai Xue
Chi Zhang
Wanqi Xue
Shuchang Liu
Ruohan Zhan
Xueliang Wang
Tianyou Zuo
Wentao Xie
Dong Zheng
Peng Jiang