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140
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CIKM
2008
Springer
15 years 5 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
116
Voted
ECIR
2009
Springer
16 years 22 days ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
SIGIR
2004
ACM
15 years 9 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
139
Voted
CLEF
2005
Springer
15 years 9 months ago
Dublin City University at CLEF 2005: Experiments with the ImageCLEF St Andrew's Collection
The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotatio...
Gareth J. F. Jones, Kieran McDonald
152
Voted
SPIRE
2010
Springer
15 years 1 months ago
Dual-Sorted Inverted Lists
Several IR tasks rely, to achieve high efficiency, on a single pervasive data structure called the inverted index. This is a mapping from the terms in a text collection to the docu...
Gonzalo Navarro, Simon J. Puglisi