Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/564636
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-05-20T07:07:20Z-
dc.date.available2024-05-20T07:07:20Z-
dc.identifier.urihttp://hdl.handle.net/10603/564636-
dc.description.abstractnewline
dc.format.extentxix,170p
dc.languageEnglish
dc.relation140
dc.rightsuniversity
dc.titleAn exploitation of deep predictive big data recommender systems for heterogeneous information sources
dc.title.alternative
dc.creator.researcherM Kavitha
dc.subject.keywordAn exploitation of deep predictive
dc.subject.keywordbig data recommender systems
dc.subject.keywordheterogeneous information sources
dc.description.note5032
dc.contributor.guideS Subbaiah
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2017
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions92mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
10.annexures.pdfAttached File167.14 kBAdobe PDFView/Open
1_title.pdf63.66 kBAdobe PDFView/Open
2_preliminary pages.pdf1.68 MBAdobe PDFView/Open
3_content (index).pdf271.1 kBAdobe PDFView/Open
5_chapter 1.pdf463.38 kBAdobe PDFView/Open
6_chapter 2.pdf294.43 kBAdobe PDFView/Open
7_chapter 3.pdf237.11 kBAdobe PDFView/Open
80_recommendation.pdf176.91 kBAdobe PDFView/Open
8_chapter 4.pdf354.25 kBAdobe PDFView/Open
9_chapter 5 to last chapter.pdf1.32 MBAdobe PDFView/Open


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