Singular Value Decomposition++

Singular Value Decomposition++ is a matrix factorization model in collaborative filtering that extends Singular Value Decomposition by incorporating user and item bias terms and temporal dynamics to improve prediction accuracy in sparse user-item interaction matrices.

88

Publications

10.5K

Citations

283

Authors

137

Institutions

Publications per year

2017–2026

33

Authors

283

  1. SX
    Shaofei Xue

    University of Science and Technology of China, China

    2 publications · 44 citations

    2

    h-index

  2. JQ
    Jiwei Qin

    Xinjiang University, China

    2 publications · 41 citations

    2

    h-index

  3. FB
    Fahren Bukhari

    IPB University, Indonesia

    2 publications · 45 citations

    2

    h-index

  4. WS
    Wenchuan Shi

    Xinjiang University, China

    2 publications · 41 citations

    2

    h-index

  5. MK
    Mohamad Khoirun Najib

    IPB University, Indonesia

    2 publications · 45 citations

    2

    h-index

1–5 of 283

Venues

  1. Analytical Chemistry

    2 publications · 64 citations

    2

    h-index

  2. Free Radical Biology and Medicine

    2 publications · 94 citations

    2

    h-index

  3. The American Statistician

    2 publications · 329 citations

    2

    h-index

  4. ACM Transactions on Mathematical Software

    TOMS · 2 publications · 305 citations

    2

    h-index

  5. Information

    2 publications · 52 citations

    2

    h-index

1–5