Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding.
Susik Yoon|Dongha Lee|Yunyi Zhang|Jiawei Han
| Anthology ID: | DBLP:conf/sigir/YoonLZ023 |
|---|---|
| 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: | 802-811 |
| URL: | https://doi.org/10.1145/3539618.3591782 |
| DOI: | https://doi.org/10.1145/3539618.3591782 |
| DBLP: | conf/sigir/YoonLZ023 |
| BibTeX: |
@inproceedings{yoon-2023-unsupervised,
author = {Susik Yoon and
Dongha Lee and
Yunyi Zhang and
Jiawei Han},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding}},
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 = {802--811},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591782},
doi = {https://doi.org/10.1145/3539618.3591782}
}