Latent semantic-space: iterative scaling improves precision of inter-document similarity measurement.
| Anthology ID: | DBLP:conf/sigir/Ando00 |
|---|---|
| Volume: | SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 24-28, 2000, Athens, Greece |
| Year: | 2000 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 216-223 |
| URL: | https://doi.org/10.1145/345508.345579 |
| DOI: | https://doi.org/10.1145/345508.345579 |
| DBLP: | conf/sigir/Ando00 |
| BibTeX: |
@inproceedings{ando-2000-latent,
author = {Rie Kubota Ando},
editor = {Emmanuel J. Yannakoudakis and
Nicholas J. Belkin and
Peter Ingwersen and
Mun-Kew Leong},
title = {{Latent semantic-space: iterative scaling improves precision of inter-document similarity measurement}},
booktitle = {{SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 24-28, 2000, Athens, Greece}},
pages = {216--223},
publisher = {ACM},
year = {2000},
url = {https://doi.org/10.1145/345508.345579},
doi = {https://doi.org/10.1145/345508.345579}
}