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Automatic generation of query sessions using text segmentation

Ganguly, Debasis and Leveling, Johannes and Jones, Gareth J.F. (2011) Automatic generation of query sessions using text segmentation. In: The Evaluating Personal Search Workshop at ECIR 2011, 18-21st April 2011, Dublin, Ireland.

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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 two types of query re-formulations a) specification where the reformulated query expresses a more particular information need compared to the previous query; and b) generalization where the query is reformulated to retrieve more general information. To test our model we generate the two reformulation variants starting with topic titles from the TREC-8 ad hoc track as the initial queries. We use the average clarity score as a specificity measure to show that the specific and the generic query variants have a higher and lower average clarity score respectively. We also use manual judgements from multiple assessors to calculate the accuracy of the specicity and generality of the variants, and show that there exists a correlation between the relative change in the clarity scores and the manual judgements of specicity.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:query reformulation; topic creation; query logs
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16392
Deposited On:29 Jun 2011 14:55 by Shane Harper. Last Modified 23 Feb 2017 09:40

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