Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features.

Seonmin Kim|Dong-Kyu Chae


Anthology ID:DBLP:conf/sigir/KimC23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2134-2138
URL:https://doi.org/10.1145/3539618.3592013
DOI:https://doi.org/10.1145/3539618.3592013
DBLP:conf/sigir/KimC23
BibTeX:
@inproceedings{kim-2023-look, author = {Seonmin Kim and Dong-Kyu Chae}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {2134--2138}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3592013}, doi = {https://doi.org/10.1145/3539618.3592013} }