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ABSTRACT
Document retrieval systems are built to provide inquirers with computerized access to relevant documents. Such systems often miss many relevant documents while falsely identifying many non-relevant documents. Here, competing document descriptions are associated with a document and altered over time by a genetic algorithm according to the queries used and relevance judgments made during retrieval.
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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CITED BY 41
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Weiguo Fan , Ming Luo , Li Wang , Wensi Xi , Edward A. Fox, Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom
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Baoping Zhang , Yuxin Chen , Weiguo Fan , Edward A. Fox , Marcos Gonçalves , Marco Cristo , Pável Calado, Intelligent GP fusion from multiple sources for text classification, Proceedings of the 14th ACM international conference on Information and knowledge management, October 31-November 05, 2005, Bremen, Germany
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Anísio Lacerda , Marco Cristo , Marcos André Gonçalves , Weiguo Fan , Nivio Ziviani , Berthier Ribeiro-Neto, Learning to advertise, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, August 06-11, 2006, Seattle, Washington, USA
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