Effective pre-retrieval query performance prediction using similarity and variability evidence

Zhao, Y, Scholer, F and Tsegay, Y 2008, 'Effective pre-retrieval query performance prediction using similarity and variability evidence', in C. Macdonald, I. Ounis, V. Plachouras, I. Ruthven and R. W. White (ed.) Advances in Information Retrieval, Glasgow, United Kingdom, 30 March - 3 April 2008.


Document type: Conference Paper
Collection: Conference Papers

Title Effective pre-retrieval query performance prediction using similarity and variability evidence
Author(s) Zhao, Y
Scholer, F
Tsegay, Y
Year 2008
Conference name 30th European Conference on IR Research ECIR 2008
Conference location Glasgow, United Kingdom
Conference dates 30 March - 3 April 2008
Proceedings title Advances in Information Retrieval
Editor(s) C. Macdonald
I. Ounis
V. Plachouras
I. Ruthven
R. W. White
Publisher Springer Verlag
Place of publication Berlin, Germany
Abstract Query performance prediction aims to estimate the quality of answers that a search system will return in response to a particular query. In this paper we propose a new family of pre-retrieval predictors based on information at both the collection and document level. Pre-retrieval predictors are important because they can be calculated from information that is available at indexing time; they are therefore more efficient than predictors that incorporate information obtained from actual search results. Experimental evaluation of our approach shows that the new predictors give more consistent performance than previously proposed pre-retrieval methods across a variety of data types and search tasks.
Subjects Information Systems Organisation
DOI - identifier 10.1007/978-3-540-78646-7_8
Copyright notice © 2008 Springer Berlin / Heidelberg
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