Predicting Relevance Feedback Effectiveness with the Help of the Principle of Polyrepresentation in MIR.

David Zellhöfer


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} }