Analysis and amelioration of e learning recommender systems

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/377238

Title:	Analysis and amelioration of e learning recommender systems
Researcher:	Nicholas, J. Saul
Guide(s):	Francis, F. Sagayaraj
Keywords:	Computer Science Computer Science Artificial Intelligence E-learning Engineering and Technology
University:	Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
Completed Date:	2018
Abstract:
Pagination:	115 p.
URI:	http://hdl.handle.net/10603/377238
Appears in Departments:	Department of Computer Science and Applications

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File	Description	Size	Format
01_title.pdf	Attached File	118.3 kB	Adobe PDF	View/Open
02_certificate.pdf		169.53 kB	Adobe PDF	View/Open
03_declaration.pdf		169.24 kB	Adobe PDF	View/Open
04_acknowledgement.pdf		99.7 kB	Adobe PDF	View/Open
05_abstract.pdf		230.32 kB	Adobe PDF	View/Open
06_table of content.pdf		110.09 kB	Adobe PDF	View/Open
07_list of tables.pdf		98.68 kB	Adobe PDF	View/Open
08_list of figures.pdf		192.73 kB	Adobe PDF	View/Open
09_abbreviation.pdf		102.12 kB	Adobe PDF	View/Open
10_chapter 1.pdf		567.91 kB	Adobe PDF	View/Open
11_chapter 2.pdf		726.8 kB	Adobe PDF	View/Open
12_chapter 3.pdf		313.06 kB	Adobe PDF	View/Open
13_chapter 4.pdf		648.52 kB	Adobe PDF	View/Open
14_chapter 5.pdf		924.67 kB	Adobe PDF	View/Open
15_chapter 6.pdf		186.69 kB	Adobe PDF	View/Open
16_references.pdf		307.6 kB	Adobe PDF	View/Open
17_annexture.pdf		96.36 kB	Adobe PDF	View/Open
18_list of publications.pdf		2.04 MB	Adobe PDF	View/Open
80_recommendation.pdf		304.88 kB	Adobe PDF	View/Open

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