De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction.
Hongzun Liu|Kang Yin|Tianyu Sun|Rui Huang|Yunsong Li|Xiao Fang|Zhaojie Liu|Weidong Liu|Guorui Zhou
| Anthology ID: | DBLP:conf/www/LiuYSHLFLLZ24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 694-697 |
| URL: | https://doi.org/10.1145/3589335.3651486 |
| DOI: | https://doi.org/10.1145/3589335.3651486 |
| DBLP: | conf/www/LiuYSHLFLLZ24 |
| BibTeX: |
@inproceedings{liu-2024-deanchor,
author = {Hongzun Liu and
Kang Yin and
Tianyu Sun and
Rui Huang and
Yunsong Li and
Xiao Fang and
Zhaojie Liu and
Weidong Liu and
Guorui Zhou},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {694--697},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651486},
doi = {https://doi.org/10.1145/3589335.3651486}
}