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Why current IR engines fail
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Sheffield, United Kingdom
POSTER SESSION: Posters table of contents
Pages: 584 - 585  
Year of Publication: 2004
ISBN:1-58113-881-4
Author
Chris Buckley  Sabir Research, Inc., Gaithersburg, Maryland
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 97,   Citation Count: 21
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ABSTRACT

Observations from a unique investigation of failure analysis of Information Retrieval (IR) research engines are presented. The Reliable Information Access (RIA) Workshop invited seven leading IR research groups to supply both their systems and their experts to an effort to analyze why their systems fail on some topics and whether the failures are due to system flaws, approach flaws, or the topic itself. There were surprising results from this cross-system failure analysis. One is that despite systems retrieving very different documents, the major cause of failure for any particular topic was almost always the same across all systems. Another is that relationships between aspects of a topic are not especially important for state-of-the-art systems; the systems are failing at a much more basic level where the top-retrieved documents are not reflecting some aspect at all.


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CITED BY  21