LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
Peng Zhu|Yuante Li|Yifan Hu|Qinyuan Liu|Dawei Cheng|Yuqi Liang
| Anthology ID: | DBLP:conf/cikm/ZhuLHLCL24 |
|---|---|
| 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: | 5135-5142 |
| URL: | https://doi.org/10.1145/3627673.3680012 |
| DOI: | https://doi.org/10.1145/3627673.3680012 |
| DBLP: | conf/cikm/ZhuLHLCL24 |
| BibTeX: |
@inproceedings{zhu-2024-lsrigru,
author = {Peng Zhu and
Yuante Li and
Yifan Hu and
Qinyuan Liu and
Dawei Cheng and
Yuqi Liang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {5135--5142},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680012},
doi = {https://doi.org/10.1145/3627673.3680012}
}