1. Shodhganga@INFLIBNET
  2. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/494396
Title: Machine Learning Recommendation System For The Product Using Hybrid Filtering Techniques Through GruAggd Bfgs
Researcher: A Suresh
Guide(s): V Srinivasa Rao
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: Vel Tech Rangarajan Dr.Sagunthala RandD Institute of Science and Technology
Completed Date: 2023
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/494396
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File76.74 kBAdobe PDFView/Open
abstract .pdf37.78 kBAdobe PDFView/Open
acknowledgement.pdf33.31 kBAdobe PDFView/Open
bonafide certificate .pdf62.15 kBAdobe PDFView/Open
chapter 1_introduction.pdf468.98 kBAdobe PDFView/Open
chapter 2_literature survey .pdf277.11 kBAdobe PDFView/Open
chapter 3_research methodology.pdf269.96 kBAdobe PDFView/Open
chapter 4_gated recurrent unit with accelerated -.pdf425 kBAdobe PDFView/Open
chapter 5_broyden fletcher goldfarb shanno algorithm.pdf476.33 kBAdobe PDFView/Open
chapter 6_elimination of duplicates.pdf501.78 kBAdobe PDFView/Open
chapter 7_probability-based recommendation system.pdf365.43 kBAdobe PDFView/Open
chapter 8_multi-vendor product ranking.pdf509.17 kBAdobe PDFView/Open
chapter 9_conclusion.pdf76.74 kBAdobe PDFView/Open
curriculum vitae.pdf65.22 kBAdobe PDFView/Open
declaration certificate.pdf62.36 kBAdobe PDFView/Open
list of publications.pdf131.04 kBAdobe PDFView/Open
references.pdf177.52 kBAdobe PDFView/Open
table of contents .pdf58.8 kBAdobe PDFView/Open
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