TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.

@inproceedings{si-2024-twin, author = {Zihua Si and Lin Guan and Zhongxiang Sun and Xiaoxue Zang and Jing Lu and Yiqun Hui and Xingchao Cao and Zeyu Yang and Yichen Zheng and Dewei Leng and Kai Zheng and Chenbin Zhang and Yanan Niu and Yang Song and Kun Gai}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {4890--4897}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3680030}, doi = {https://doi.org/10.1145/3627673.3680030} }