PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Jiacen Hu|Zhangming Chan|Yu Zhang|Shuguang Han|Siyuan Lou|Baolin Liu|Han Zhu|Yuning Jiang|Jian Xu|Bo Zheng
| Anthology ID: | DBLP:conf/cikm/HuCZHLLZJX023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4639-4645 |
| URL: | https://doi.org/10.1145/3583780.3615495 |
| DOI: | https://doi.org/10.1145/3583780.3615495 |
| DBLP: | conf/cikm/HuCZHLLZJX023 |
| BibTeX: |
@inproceedings{hu-2023-pssa,
author = {Jiacen Hu and
Zhangming Chan and
Yu Zhang and
Shuguang Han and
Siyuan Lou and
Baolin Liu and
Han Zhu and
Yuning Jiang and
Jian Xu and
Bo Zheng},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4639--4645},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615495},
doi = {https://doi.org/10.1145/3583780.3615495}
}