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Cluster-based query expansion
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
POSTER SESSION: Posters table of contents
Pages 646-647  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Authors
Inna Gelfer Kalmanovich  Technion, Haifa, Israel
Oren Kurland  Technion, Haifa, Israel
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We demonstrate the merits of using document clusters that are created offline to improve the overall effectiveness and performance robustness of a state-of-the-art pseudo-feedback-based query expansion method -- the relevance model.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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N. Abdul-Jaleel, J. Allan,W. B. Croft, F. Diaz, L. Larkey, X. Li, M. D. Smucker, and C.Wade. UMASS at TREC 2004 novelty and hard. In Proceedings of TREC-13, 2004.
 
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G. Amati, C. Carpineto, and G. Romano. Query difficulty, robustness, and selective application of query expansion. In Proceedings of ECIR, pages 127--137, 2004.
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Collaborative Colleagues:
Inna Gelfer Kalmanovich: colleagues
Oren Kurland: colleagues