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dc.contributor.authorLee, Joon Hoen_US
dc.date.accessioned2007-04-23T18:01:37Z
dc.date.available2007-04-23T18:01:37Z
dc.date.issued1995-03en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1502en_US
dc.identifier.urihttps://hdl.handle.net/1813/7160
dc.description.abstractIt has been known that using different representations of either queries or documents, or different retrieval techniques retrieves different sets of documents. Recent work suggests that significant improvements in retrieval performance can be achieved by combining multiple representations or multiple retrieval techniques. In this paper we propose a simple method for retrieving different documents within a single query representation, a single document representation and a single retrieval technique. We classify the types of documents, and describe the properties of weighting schemes. Then, we explain that different properties of weighting schemes may retrieve different types of documents. Experimental results show that significant improvements can be obtained by combining the retrieval results from different properties of weighting schemes.en_US
dc.format.extent202725 bytes
dc.format.extent243532 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.titleCombining Multiple Evidence from Different Properties of WeightingSchemesen_US
dc.typetechnical reporten_US


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