Predicting Relevance Feedback Effectiveness with the Help of the Principle of Polyrepresentation in MIR.
| Anthology ID: | DBLP:conf/ictir/Zellhofer15 |
|---|---|
| Volume: | Proceedings of the 2015 International Conference on The Theory of Information Retrieval, ICTIR 2015, Northampton, Massachusetts, USA, September 27-30, 2015 |
| Year: | 2015 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 345-348 |
| URL: | https://doi.org/10.1145/2808194.2809485 |
| DOI: | https://doi.org/10.1145/2808194.2809485 |
| DBLP: | conf/ictir/Zellhofer15 |
| BibTeX: |
@inproceedings{zellhofer-2015-predicting,
author = {David Zellh\"{o}fer},
editor = {James Allan and
W. Bruce Croft and
Arjen P. de Vries and
ChengXiang Zhai},
title = {{Predicting Relevance Feedback Effectiveness with the Help of the Principle of Polyrepresentation in MIR}},
booktitle = {{Proceedings of the 2015 International Conference on The Theory of Information Retrieval, ICTIR 2015, Northampton, Massachusetts, USA, September 27-30, 2015}},
pages = {345--348},
publisher = {ACM},
year = {2015},
url = {https://doi.org/10.1145/2808194.2809485},
doi = {https://doi.org/10.1145/2808194.2809485}
}