Document (#35471)

Author
Efron, M.
Winget, M.
Title
Query polyrepresentation for ranking retrieval systems without relevance judgments
Source
Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1081-1091
Year
2010
Abstract
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This article offers a novel method of approaching the system-ranking problem, based on the widely studied idea of polyrepresentation. The principle of polyrepresentation suggests that a single information need can be represented by many query articulations-what we call query aspects. By skimming the top k (where k is small) documents retrieved by a single system for multiple query aspects, we collect a set of documents that are likely to be relevant to a given test topic. Labeling these skimmed documents as putatively relevant lets us build pseudorelevance judgments without undue human intervention. We report experiments where using these pseudorelevance judgments delivers a rank ordering of IR systems that correlates highly with rankings based on human relevance judgments.
Theme
Retrievalalgorithmen

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