Effectiveness of query expansion in ranked-output document retrieval systems
Journal of Information SciencePublished 1 April 1992
F. Çuna Ekmekçioglu, Alexander M. Robertson, Peter Willett
Citations45
SJR quartileQ1
SJR score0.63
SNIP1.31
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TL;DR
An evaluation of three methods for the expansion of natural language queries in ranked-out put retrieval systems based on term co-oc currence data, on Soundex codes, and on a string similarity measure suggests there is no significant differ ence in retrieval effectiveness between any of these methods and unexpanded searches.
Abstract
This paper reports an evaluation of three methods for the expansion of natural language queries in ranked-out put retrieval systems. The methods are based on term co-oc currence data, on Soundex codes, and on a string similarity measure. Searches for 110 queries in a database of 26,280 titles and abstracts suggest that there is no significant differ ence in retrieval effectiveness between any of these methods and unexpanded searches.
Keywords
Computer Science
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