1. Shodhganga@INFLIBNET
  2. National Institute of Technology Puducherry
  3. Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/547218
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-02-26T05:21:54Z-
dc.date.available2024-02-26T05:21:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/547218-
dc.description.abstractAvailable
dc.format.extentxii,121p.
dc.languageEnglish
dc.relationNo.of References 171.
dc.rightsuniversity
dc.titleLeveraging Recency and Credibility in Recommendation System Using Machine Learning and Deep Learning Approaches
dc.title.alternative
dc.creator.researcherSujitra at Kanmani, R
dc.subject.keywordCold Start Problem
dc.subject.keywordComputer Science
dc.subject.keywordDeceptive Reviews
dc.subject.keywordEngineering and Technology
dc.subject.keywordReadability
dc.subject.keywordRecency
dc.subject.keywordRoBERTa
dc.subject.keywordShilling Attack
dc.subject.keywordXLM
dc.description.noteSummary p.95, References p.98-118.
dc.contributor.guideSurendiran, B
dc.publisher.placePuducherry
dc.publisher.universityNational Institute of Technology Puducherry
dc.publisher.institutionComputer Science and Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File116.96 kBAdobe PDFView/Open
02_prelim pages .pdf1.02 MBAdobe PDFView/Open
03_content.pdf555.78 kBAdobe PDFView/Open
04_abstract.pdf182.81 kBAdobe PDFView/Open
05_chapter 1.pdf699.66 kBAdobe PDFView/Open
06_chapter 2.pdf393.04 kBAdobe PDFView/Open
07_chapter 3.pdf1.25 MBAdobe PDFView/Open
08_chapter 4.pdf1.53 MBAdobe PDFView/Open
09_chapter 5.pdf2.01 MBAdobe PDFView/Open
10_chapter 6.pdf444.64 kBAdobe PDFView/Open
11_annexures.pdf1.32 MBAdobe PDFView/Open
80_recommendation.pdf559.07 kBAdobe PDFView/Open
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