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Probabilistic and genetic algorithms in document retrieval
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Communications of the ACM archive
Volume 31 ,  Issue 10  (October 1988) table of contents
Pages: 1208 - 1218  
Year of Publication: 1988
ISSN:0001-0782
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ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 51,   Citation Count: 41
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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