Divergence Based Non-Negative Matrix Factorization for top-N Recommendations

Files
0045.pdf (566.21 KB)
Date
2019-01-08
Authors
Haque, Md. Enamul
Zobaed, SM
Tozal, Mehmet Engin
Raghavan, Vijay
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
Description
Keywords
Data Science and Digital Collaborations, Collaboration Systems and Technologies, K-L divergence, Matrix factorization, Top N recommendation
Citation
URI
http://hdl.handle.net/10125/59485
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 52nd Hawaii International Conference on System Sciences
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Data Science and Digital Collaborations
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.