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

Authors

291

  1. LT
    Le Trung Thanh

    Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, France

    3 publications · 71 citations

    3

    h-index

  2. NL
    Nguyen Linh Trung

    Vietnam National University, Hanoi, Vietnam

    3 publications · 71 citations

    3

    h-index

  3. DB
    Dmitri B. Chklovskii

    Cold Spring Harbor Laboratory, United States

    2 publications · 71 citations

    2

    h-index

  4. JF
    Jicong Fan

    Chinese University of Hong Kong, Shenzhen, China

    2 publications · 56 citations

    2

    h-index

  5. AJ
    Alí­pio Jorge

    Universidade do Porto, Portugal

    2 publications · 41 citations

    2

    h-index

1–5 of 291

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 196 citations

    8

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Signal Processing

    3 publications · 258 citations

    3

    h-index

  4. Neurocomputing

    3 publications · 122 citations

    3

    h-index

  5. 2014 48th Asilomar Conference on Signals, Systems and Computers

    Conference · 2 publications · 71 citations

    2

    h-index

1–5