Online Matrix Factorization
Online Matrix Factorization is a matrix factorization method that incrementally updates factorized matrices in real-time as new data arrives, distinguishing itself from batch methods by enabling scalable and adaptive learning without reprocessing the entire dataset.
95
Publications
6.8K
Citations
291
Authors
155
Institutions
Publications per year
2017–2026
47
Parents
95
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
Xiangnan He, Hanwang Zhang, Min‐Yen Kan et al. · 2016 · 1K citations
1–5 of 95
291
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, France
3 publications · 71 citations
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 291
155
National University of Singapore
Singapore, Singapore
5 h-index
12 publications
4.4K citations
Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Orléans, France
3 h-index
9 publications
213 citations

Xidian University
Xi'an, China
3 h-index
8 publications
418 citations
University of Technology Sydney
Sydney, Australia
3 h-index
6 publications
550 citations

Hunan University
Changsha, China
3 h-index
11 publications
230 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
6 publications
118 citations
VNU University of Science
Hanoi, Vietnam
3 h-index
3 publications
71 citations

Cornell University
Ithaca, United States
3 h-index
4 publications
164 citations
1–8 of 155
Repository · 8 publications · 196 citations
8
h-index
3 publications · 361 citations
3
h-index
3 publications · 258 citations
3
h-index
3 publications · 122 citations
3
h-index
Conference · 2 publications · 71 citations
2
h-index
1–5