Personalizing the GAMS Cross-Index

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dc.contributor.authorPerugini, Saverioen
dc.contributor.authorLakshminarayanan, Priyaen
dc.contributor.authorRamakrishnan, Narenen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:26Zen
dc.date.available2013-06-19T14:36:26Zen
dc.date.issued2000-03-01en
dc.description.abstractThe NIST Guide to Available Mathematical Software (GAMS)system at http://gams.nist.gov serves as the gateway to thousands of scientific codes and modules for numerical com-putation.We describe the PIPE personalization facility for GAMS,whereby content from the cross-index is specialized for a user desiring software recommendations for a specific problem instance.The key idea is to (i)mine structure,and (ii)exploit it in a programmatic manner to generate personalized web pages.Our approach supports both content based and collaborative personalization and enables information integration from multiple (and complementary)web resources.We present case studies for the domain of linear,second-order,elliptic partial differential equations that indicate strong empirical evidence for the usefulness of our semi-automatic approach.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000557/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000557/01/TR-00-01.pdfen
dc.identifier.trnumberTR-00-01en
dc.identifier.urihttp://hdl.handle.net/10919/20053en
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.subjectArtificial intelligenceen
dc.titlePersonalizing the GAMS Cross-Indexen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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