Weights and Measures: An Axiomatic Model for Similarity Computations

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dc.contributorVirginia Tech. Department of Computer Science. Digital Library Research Laboratoryen
dc.contributor.authorFrance, Robert K.en
dc.contributor.departmentDigital Library Research Laboratoryen
dc.contributor.departmentComputer Scienceen
dc.date.accessed2014-09-04en
dc.date.accessioned2015-05-29T20:36:38Zen
dc.date.available2015-05-29T20:36:38Zen
dc.date.issued1994en
dc.description.abstractThis paper proposes a formal model for similarity functions, first over arbitrary objects, then over sets and the sorts of weighted sets that are found in text retrieval systems. Using a handful of axioms and constraints, we are able to make statements about the behavior of such functions in reference to set overlap and to noise. The model is then used to analyze, and we hope illuminate, several popular text similarity functions.en
dc.format.extent14 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationFrance, Robert K. "Weights and Measures: An Axiomatic Model for Similarity Computations." Internal Report, Virginia Tech, 1994.en
dc.identifier.urihttp://hdl.handle.net/10919/52847en
dc.identifier.urlhttp://www.dlib.vt.edu/reports/WeightsMeasures.pdfen
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSimilarity functionsen
dc.subjectAxiomatic modelen
dc.subjectWeighted setsen
dc.titleWeights and Measures: An Axiomatic Model for Similarity Computationsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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