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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.

Data and Resources

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

DOI retrieved: January 2, 2025

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