Scalable hierarchical topic detection: exploring a sample based approach.

Dolf Trieschnigg|Wessel Kraaij


Anthology ID:DBLP:conf/sigir/TrieschniggK05
Volume:SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15-19, 2005
Year:2005
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:655-656
URL:https://doi.org/10.1145/1076034.1076175
DOI:https://doi.org/10.1145/1076034.1076175
DBLP:conf/sigir/TrieschniggK05
BibTeX:
@inproceedings{trieschnigg-2005-scalable, author = {Dolf Trieschnigg and Wessel Kraaij}, editor = {Ricardo Baeza-Yates and Nivio Ziviani and Gary Marchionini and Alistair Moffat and John Tait}, title = {{Scalable hierarchical topic detection: exploring a sample based approach}}, booktitle = {{SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil, August 15-19, 2005}}, pages = {655--656}, publisher = {ACM}, year = {2005}, url = {https://doi.org/10.1145/1076034.1076175}, doi = {https://doi.org/10.1145/1076034.1076175} }