Assessment of the Quality of Topic Models for Information Retrieval Applications.
Meng Yuan|Pauline Lin|Lida Rashidi|Justin Zobel
| Anthology ID: | DBLP:conf/ictir/YuanLRZ23 |
|---|---|
| Volume: | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023 |
| Year: | 2023 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 265-274 |
| URL: | https://doi.org/10.1145/3578337.3605118 |
| DOI: | https://doi.org/10.1145/3578337.3605118 |
| DBLP: | conf/ictir/YuanLRZ23 |
| BibTeX: |
@inproceedings{yuan-2023-assessment,
author = {Meng Yuan and
Pauline Lin and
Lida Rashidi and
Justin Zobel},
editor = {Masaharu Yoshioka and
Julia Kiseleva and
Mohammad Aliannejadi},
title = {{Assessment of the Quality of Topic Models for Information Retrieval Applications}},
booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}},
pages = {265--274},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3578337.3605118},
doi = {https://doi.org/10.1145/3578337.3605118}
}