Elicitation and use of relevance feedback information
Date
2006-01
Authors
Vechtomova, O.
Karamuftuoglu, M.
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Information Processing and Management
Print ISSN
0306-4573
Electronic ISSN
Publisher
Elsevier Ltd
Volume
42
Issue
1
Pages
191 - 206
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Series
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. © 2004 Elsevier Ltd. All rights reserved.