TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Data and Resources
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Cite this as
Zihua Si, Renmin University of China, Kuaishou Technology Co., Ltd., Xiaoxue Zang, Kuaishou Technology Co., Ltd., Xingchao Cao, Kuaishou Technology Co., Ltd., Dewei Leng, Kuaishou Technology Co., Ltd., Yanan Niu, Kuaishou Technology Co., Ltd., Lin Guan, Kuaishou Technology Co., Ltd., Jing Lu, Kuaishou Technology Co., Ltd., Zeyu Yang, Kuaishou Technology Co., Ltd., Kai Zheng, Kuaishou Technology Co., Ltd., Yang Song, Kuaishou Technology Co., Ltd., Zhongxiang Sun, Renmin University of China, Yiqun Hui, Kuaishou Technology Co., Ltd., Yichen Zheng, Kuaishou Technology Co., Ltd., Chenbin Zhang, Kuaishou Technology Co., Ltd., Kun Gai, Independent (2025). Dataset: TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. https://doi.org/10.57702/nmckhotw
Private DOI This DOI is not yet resolvable.It is available for use in manuscripts, and will be published when the Dataset is made public.
Additional Info
| Field | Value |
|---|---|
| Created | January 2, 2025 |
| Last update | January 2, 2025 |
| Defined In | https://doi.org/10.1145/3627673.3680030 |
| Author | Zihua Si |
| More Authors |
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| Homepage | https://doi.org/10.1145/3627673.3680030 |