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dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorFox, Edward A.en_US
dc.contributor.authorVoorhees, Ellen M.en_US
dc.date.accessioned2007-04-23T16:48:33Z
dc.date.available2007-04-23T16:48:33Z
dc.date.issued1983-07en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR83-564en_US
dc.identifier.urihttps://hdl.handle.net/1813/6404
dc.description.abstractThe relevance feedback process uses information derived from an initially retrieved set of documents to improve subsequent search formulations and retrieval output. In a Boolean query environment this implies that new query terms must be identified and Boolean operators must be chosen automatically to connect the various query terms. In this study, two recently proposed automatic methods for relevance feedback of Boolean queries are evaluated and conclusions are drawn concerning the use of effective feedback methods in a Boolean query environment.en_US
dc.format.extent1801156 bytes
dc.format.extent476135 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleA Comparison of Two Methods for Boolean Query Relevance Feedbacken_US
dc.typetechnical reporten_US


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