Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search.
Haonan Chen|Zhicheng Dou|Yutao Zhu|Zhao Cao|Xiaohua Cheng|Ji-Rong Wen
| Anthology ID: | DBLP:conf/cikm/ChenD0CCW22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 180-190 |
| URL: | https://doi.org/10.1145/3511808.3557310 |
| DOI: | https://doi.org/10.1145/3511808.3557310 |
| DBLP: | conf/cikm/ChenD0CCW22 |
| BibTeX: |
@inproceedings{chen-2022-enhancing,
author = {Haonan Chen and
Zhicheng Dou and
Yutao Zhu and
Zhao Cao and
Xiaohua Cheng and
Ji-Rong Wen},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {180--190},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557310},
doi = {https://doi.org/10.1145/3511808.3557310}
}