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dc.contributorVirginia Tech. Department of Computer Science. Digital Library Research Laboratoryen_US
dc.contributor.authorFrance, Robert K.en_US
dc.contributor.authorFox, Edward A.en_US
dc.date.accessioned2015-05-29T20:36:38Z
dc.date.available2015-05-29T20:36:38Z
dc.date.issued1993
dc.identifier.citationFrance, Robert K. and Edward A. Fox. "Indexing Large Collections of Small Text Records for Ranked Retrieval." Internal Report, Virginia Tech, 1993.en_US
dc.identifier.urihttp://hdl.handle.net/10919/52849
dc.description.abstractThe MARIAN online public access catalog system at Virginia Tech has been developed to apply advanced information retrieval methods and object-oriented technology to the needs of library patrons. We give a description of our data model, design, processing, data representations, and retrieval operation. By identifying objects of interest during the indexing process, storing them according to our "information graph" model, and applying weighting schemes that seem appropriate for this large collection of small text records, we hope to better serve user needs. Since every text word is important in this domain, we employ opportunistic matching algorithms and a mix of data structures to support searching, that will give good performance for a large campus community, even though MARIAN runs on a distributed collection of small workstations. An initial small experiment indicates that our new ad hoc weighting scheme is more effective than a more standard approach.en_US
dc.format.extent37 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.subjectIndexingen_US
dc.subjectCollection managementen_US
dc.subjectRanked retrievalen_US
dc.subjectSmall text recordsen_US
dc.titleIndexing Large Collections of Small Text Records for Ranked Retrievalen_US
dc.typeTechnical reporten_US
dc.identifier.urlhttp://www.dlib.vt.edu/reports/LargeCollsSmTexts.pdfen_US
dc.date.accessed2014-09-04en_US
dc.type.dcmitypeTexten_US


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