Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/429176
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-21T08:19:29Z-
dc.date.available2022-12-21T08:19:29Z-
dc.identifier.urihttp://hdl.handle.net/10603/429176-
dc.description.abstractAvailable
dc.format.extent145 p.
dc.languageEnglish
dc.relationBibliography p. 131-145
dc.rightsuniversity
dc.titleIntelligent recommender system based on clickstream sessions
dc.title.alternative
dc.creator.researcherGupta, Shalini
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideDixit, V S
dc.publisher.placeNew Delhi
dc.publisher.universityUniversity of Delhi
dc.publisher.institutionDept. of Computer Science
dc.date.registered
dc.date.completed2019
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Dept. of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File125.78 kBAdobe PDFView/Open
02_prelim pages.pdf291.78 kBAdobe PDFView/Open
03_table of content.pdf104.59 kBAdobe PDFView/Open
04_abstract.pdf158.57 kBAdobe PDFView/Open
05_chapter 1.pdf241.4 kBAdobe PDFView/Open
06_chapter 2.pdf474.04 kBAdobe PDFView/Open
07_chapter 3.pdf452.09 kBAdobe PDFView/Open
08_chapter 4.pdf370.75 kBAdobe PDFView/Open
09_chapter 5.pdf349.39 kBAdobe PDFView/Open
10_chapter 6.pdf432.21 kBAdobe PDFView/Open
11_annexture.pdf262.44 kBAdobe PDFView/Open
80_recommendation.pdf247.31 kBAdobe PDFView/Open


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