An efficient framework for scientific article recommendation system

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/426631

Title:	An efficient framework for scientific article recommendation system
Researcher:	Nair, Akhil M
Guide(s):	George, Jossy P
Keywords:	Citation Recommendation System, Computer Science Computer Science Artificial Intelligence Content-Based Recommendation. Engineering and Technology Graph-Based recommendation, Graph Convolutional Networks, Reinforcement Learning, Scientific Article Recommender,
University:	CHRIST University
Completed Date:	2022
Pagination:	xiii, 149p.;
URI:	http://hdl.handle.net/10603/426631
Appears in Departments:	Department of Computer Science

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File	Description	Size	Format
01_title.pdf	Attached File	16.67 kB	Adobe PDF	View/Open
02_prelim pages.pdf		504.07 kB	Adobe PDF	View/Open
03_abstract.pdf		75.79 kB	Adobe PDF	View/Open
04_table_of_contents.pdf		6.93 kB	Adobe PDF	View/Open
05_chapter1.pdf		412.69 kB	Adobe PDF	View/Open
06_chapter2.pdf		657.2 kB	Adobe PDF	View/Open
07_chapter3.pdf		236.54 kB	Adobe PDF	View/Open
08_chapter4.pdf		468.99 kB	Adobe PDF	View/Open
09_chapter5.pdf		552.75 kB	Adobe PDF	View/Open
10_chapter6.pdf		484.12 kB	Adobe PDF	View/Open
11_chapter7.pdf		311.28 kB	Adobe PDF	View/Open
12_chapter8.pdf		390.49 kB	Adobe PDF	View/Open
13_chapter9.pdf		143.95 kB	Adobe PDF	View/Open
14_annexures.pdf		859.96 kB	Adobe PDF	View/Open
80_recommendation.pdf		159.33 kB	Adobe PDF	View/Open

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