Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
Yu Zhang|Yunyi Zhang|Martin Michalski|Yucheng Jiang|Yu Meng|Jiawei Han
| Anthology ID: | DBLP:conf/wsdm/ZhangZMJM023 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 429-437 |
| URL: | https://doi.org/10.1145/3539597.3570475 |
| DOI: | https://doi.org/10.1145/3539597.3570475 |
| DBLP: | conf/wsdm/ZhangZMJM023 |
| BibTeX: |
@inproceedings{zhang-2023-effective,
author = {Yu Zhang and
Yunyi Zhang and
Martin Michalski and
Yucheng Jiang and
Yu Meng and
Jiawei Han},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {429--437},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3570475},
doi = {https://doi.org/10.1145/3539597.3570475}
}