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» A general dimension for query learning
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CIKM
2009
Springer
14 years 3 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
JMLR
2006
206views more  JMLR 2006»
13 years 8 months ago
New Algorithms for Efficient High-Dimensional Nonparametric Classification
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...
Ting Liu, Andrew W. Moore, Alexander G. Gray
CIKM
2006
Springer
14 years 19 days ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
CIKM
2008
Springer
13 years 11 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
TVCG
2008
103views more  TVCG 2008»
13 years 8 months ago
Who Votes For What? A Visual Query Language for Opinion Data
Surveys and opinion polls are extremely popular in the media, especially in the months preceding a general election. However, the available tools for analyzing poll results often r...
Geoffrey M. Draper, Richard F. Riesenfeld