Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
Rujiao Zhang|Hao Zhang|Yucong Luo|Zhiding Liu|Mingyue Cheng|Qi Liu|Enhong Chen
| Anthology ID: | DBLP:conf/cikm/ZhangZLLC0C24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4288-4292 |
| URL: | https://doi.org/10.1145/3627673.3679955 |
| DOI: | https://doi.org/10.1145/3627673.3679955 |
| DBLP: | conf/cikm/ZhangZLLC0C24 |
| BibTeX: |
@inproceedings{zhang-2024-learning,
author = {Rujiao Zhang and
Hao Zhang and
Yucong Luo and
Zhiding Liu and
Mingyue Cheng and
Qi Liu and
Enhong Chen},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4288--4292},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679955},
doi = {https://doi.org/10.1145/3627673.3679955}
}