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CLEF
2011
Springer

Simulation of Within-Session Query Variations Using a Text Segmentation Approach

7 years 6 months ago
Simulation of Within-Session Query Variations Using a Text Segmentation Approach
Abstract. We propose a generative model for automatic query reformulations from an initial query using the underlying subtopic structure of top ranked retrieved documents. We address three types of query reformulations a) specialization; b) generalization; and c) drift. To test our model we generate the three reformulation variants starting with selected fields from the TREC-8 topics as the initial queries. We use manual judgments from multiple assessors to calculate the accuracy of the reformulated query variants and observe accuracies of 65%, 82% and 69% respectively for specialization, generalization and drift reformulations.
Debasis Ganguly, Johannes Leveling, Gareth J. F. J
Added 13 Dec 2011
Updated 13 Dec 2011
Type Journal
Year 2011
Where CLEF
Authors Debasis Ganguly, Johannes Leveling, Gareth J. F. Jones
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