Recommender system using deep learning and matrix factorization
The recommender system is part of machine learning that responsible to provide product recommendation to consumers in e-commerce. This system has been adopted by almost every e-commerce company in the world including Amazon, Alibaba, iTunes, Google, and Netflix. Collaborative filtering (CF) is the m...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/26098/1/Recommender%20system%20using%20deep%20learning%20and%20matrix%20factorization.pdf http://eprints.utem.edu.my/id/eprint/26098/2/Recommender%20system%20using%20deep%20learning%20and%20matrix%20factorization.pdf http://eprints.utem.edu.my/id/eprint/26098/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121352 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!