A Comparison of Two Methods for Soft Boolean Operator Interpretation in Information Retrieval

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dc.contributor.authorFox, Edward A.en
dc.contributor.authorSharan, Sharaten
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:22Zen
dc.date.available2013-06-19T14:36:22Zen
dc.date.issued1986en
dc.description.abstractInformation retrieval systems generally are given Boolean logic queries by users or search intermediaries, in order that an efficient and effective search for relevant documents can be automatically carried out. Previous work with an extended interpretation of Boolean queries has shown that a dramatic improvement in search effectiveness results. Using the P-norm to compute distance from the ideal points in a multi-dimensional space of truth values leads to best results .1 values are on the order of 1 to 4. Other schemes besides the P-norm approach have been proposed in recent years. This paper describes experimental studies aimed at evaluating one family of such methods. In particular, a parameterized fuzzy-logic approach is contrasted with the norm interpretation. Regression analysis supports expected results of parameter settings and gives further insight into why the P-norm scheme is superior.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000008/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000008/01/TR-86-01.pdfen
dc.identifier.trnumberTR-86-01en
dc.identifier.urihttp://hdl.handle.net/10919/20272en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleA Comparison of Two Methods for Soft Boolean Operator Interpretation in Information Retrievalen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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