Simulation of within-session query variations using a text segmentation approach
Ganguly, DebasisORCID: 0000-0003-0050-7138, Leveling, JohannesORCID: 0000-0003-0603-4191 and Jones, Gareth J.F.ORCID: 0000-0003-2923-8365
(2011)
Simulation of within-session query variations using a text segmentation approach.
In: CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation, 19-22 Sept 2011, Amsterdam, The Netherlands.
We propose a generative model for automatic query refor-
mulations 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.