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» Relevance Ranking Using Kernels
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WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 7 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
193
Voted
IR
2011
14 years 9 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
122
Voted
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
15 years 9 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
143
Voted
EACL
2009
ACL Anthology
16 years 3 months ago
Re-Ranking Models for Spoken Language Understanding
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
118
Voted
CIKM
2010
Springer
15 years 20 days ago
Web search solved?: all result rankings the same?
The objective of this work is to derive quantitative statements about what fraction of web search queries issued to the state-of-the-art commercial search engines lead to excellen...
Hugo Zaragoza, Berkant Barla Cambazoglu, Ricardo A...