Elicitation and use of relevance feedback information

Authors:
Olga Vechtomova;Murat Karamuftuoglu
Affiliations:
Department of Management Sciences, University of Waterloo, 200 University Avenue West, Waterloo, Ont., Canada N2L 3GE;Department of Computer Engineering, Bilkent University, Bilkent 06800 Ankara, Turkey
Venue:
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Year:
2006

Citing 8
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Abstract

The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the user to select a number of sentences that represent documents. The second method consists of showing to the user a list of noun phrases extracted from the initial document set. Both methods then expand the query based on the user feedback. The TREC results show that one of the methods is an effective means of interactive query expansion and yields significant performance improvements. The paper presents a comparison of the methods and detailed analysis of the evaluation results.