On aggregating labels from multiple crowd workers to infer relevance of documents
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Standard
On aggregating labels from multiple crowd workers to infer relevance of documents. / Hosseini, Mehdi; Cox, Ingemar J; Mili-Frayling, Natasa; Kazai, Gabriella; Vinay, Vishwa.
Advances in Information Retrieval. Springer Science+Business Media, 2012. s. 182-194.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Harvard
Hosseini, M, Cox, IJ, Mili-Frayling, N, Kazai, G & Vinay, V 2012, On aggregating labels from multiple crowd workers to infer relevance of documents. i Advances in Information Retrieval. Springer Science+Business Media, s. 182-194.
APA
Hosseini, M., Cox, I. J., Mili-Frayling, N., Kazai, G., & Vinay, V. (2012). On aggregating labels from multiple crowd workers to infer relevance of documents. I Advances in Information Retrieval (s. 182-194). Springer Science+Business Media.
Vancouver
Hosseini M, Cox IJ, Mili-Frayling N, Kazai G, Vinay V. On aggregating labels from multiple crowd workers to infer relevance of documents. I Advances in Information Retrieval. Springer Science+Business Media. 2012. s. 182-194
Author
Bibtex
@inbook{6a21fee10116417aa4a3e5bb3a8cee7a,
title = "On aggregating labels from multiple crowd workers to infer relevance of documents",
author = "Mehdi Hosseini and Cox, {Ingemar J} and Natasa Mili-Frayling and Gabriella Kazai and Vishwa Vinay",
year = "2012",
language = "English",
pages = "182--194",
booktitle = "Advances in Information Retrieval",
publisher = "Springer Science+Business Media",
address = "Singapore",
}
RIS
TY - CHAP
T1 - On aggregating labels from multiple crowd workers to infer relevance of documents
AU - Hosseini, Mehdi
AU - Cox, Ingemar J
AU - Mili-Frayling, Natasa
AU - Kazai, Gabriella
AU - Vinay, Vishwa
PY - 2012
Y1 - 2012
M3 - Book chapter
SP - 182
EP - 194
BT - Advances in Information Retrieval
PB - Springer Science+Business Media
ER -
ID: 88184800