An effective context driven recommender system for e commerce applications

dc.contributor.guidePushpa, S
dc.coverage.spatialComputer science
dc.creator.researcherRaja, Kumar R
dc.date.accessioned2020-03-06T04:34:25Z
dc.date.available2020-03-06T04:34:25Z
dc.date.awardedn.d.
dc.date.completed2018
dc.date.registeredn.d.
dc.description.abstractfile attached
dc.description.notereferences p.111-124
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extent125 p.
dc.identifier.urihttp://hdl.handle.net/10603/280074
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.publisher.placeChennai
dc.publisher.universitySt. Peter s Institute of Higher Education and Research
dc.relationno. of references 147
dc.rightsuniversity
dc.source.inflibnetINFLIBNET
dc.subject.keywordClustering Algorithm
dc.subject.keywordCommunication Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordData Mining
dc.subject.keywordEngineering and Technology
dc.subject.keywordFLRRA
dc.subject.keywordInformation Technology
dc.subject.keywordLinked Open Data
dc.subject.keywordNOMINATE
dc.titleAn effective context driven recommender system for e commerce applications
dc.title.alternative-
dc.type.degreePh.D.

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