| Improving weak ad-hoc queries using wikipedia asexternal corpus |
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Annual ACM Conference on Research and Development in Information Retrieval
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Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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Amsterdam, The Netherlands
POSTER SESSION: Posters
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Pages: 797 - 798
Year of Publication: 2007
ISBN:978-1-59593-597-7
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Downloads (6 Weeks): 25, Downloads (12 Months): 125, Citation Count: 5
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ABSTRACT
In an ad-hoc retrieval task, the query is usually short and the user expects to find the relevant documents in the first several result pages. We explored the possibilities of using Wikipedia's articles as an external corpus to expand ad-hoc queries. Results show promising improvements over measures that emphasize on weak queries.
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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K.L. Kwok, L. Grunfeld and P. Deng. Improving weak ad-hoc retrieval by web assistance and data fusion. In AIRS, pages 17--30, 2005.
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Wikipedia, the free encyclopedia. http://www.wikipedia.org.
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E.M. Voorhees. Overview of TREC 2003. In TREC, pages 1--13, 2003.
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T. Strohman, D. Metzler, H. Turtle and W.B. Croft. Indri: A language-model based search engine for complex queries. In International Conference on Intelligence Analysis, 2005.
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D. Metzler, F. Diaz, T. Strohman, and W.B. Croft. Umass robust 2005: Using mixture of relevance models for query expansion, 2005.
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CITED BY 5
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Andrei Z. Broder , Peter Ciccolo , Marcus Fontoura , Evgeniy Gabrilovich , Vanja Josifovski , Lance Riedel, Search advertising using web relevance feedback, Proceeding of the 17th ACM conference on Information and knowledge management, October 26-30, 2008, Napa Valley, California, USA
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Xiaohua Hu , Xiaodan Zhang , Caimei Lu , E. K. Park , Xiaohua Zhou, Exploiting Wikipedia as external knowledge for document clustering, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, June 28-July 01, 2009, Paris, France
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