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CIKM
2010
Springer

Improving verbose queries using subset distribution

8 years 9 months ago
Improving verbose queries using subset distribution
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an effective method for improving these queries. In this paper, the distribution of sub-queries ("subset distribution") is formally modeled within a well-grounded framework. Specifically, sub-query selection is considered as a sequential labeling problem, where each query word in a verbose query is assigned a label of "keep" or "don't keep". A novel Conditional Random Field model is proposed to generate the distribution of sub-queries. This model captures the local and global dependencies between query words and directly optimizes the expected retrieval performance on a training set. The experiments, based on different retrieval models and performance measures, show that the proposed model can generate high-quality sub-query distributions and can significantly outperform state-...
Xiaobing Xue, Samuel Huston, W. Bruce Croft
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where CIKM
Authors Xiaobing Xue, Samuel Huston, W. Bruce Croft
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