Warm Pool Management

Warm Pool Management is a computational framework designed to optimize the initialization and retention of precomputed user or item embeddings in recommender systems, specifically by maintaining a dynamic subset of high-engagement or high-quality representations—termed the "warm pool"—to improve model performance and convergence speed during cold start scenarios.

10

Publications

1.1K

Citations

38

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

38

  1. KV
    K. Visser

    University of South Carolina, United States

    1 publications · 376 citations

    1

    h-index

  2. CF
    Chris Funk

    University of California, Santa Barbara, United States

    1 publications · 17 citations

    1

    h-index

  3. RS
    Rajeev Saraswat

    National Institute of Oceanography, India

    1 publications · 40 citations

    1

    h-index

  4. LS
    Lowell Stott

    University of Southern California, United States

    1 publications · 376 citations

    1

    h-index

  5. NW
    Ning Wang

    Chinese Academy of Sciences, China

    1 publications · 35 citations

    1

    h-index

1–5 of 38

Venues

  1. Nature

    1 publications · 376 citations

    1

    h-index

  2. Journal of Earth System Science

    1 publications · 107 citations

    1

    h-index

  3. Geophysical Research Letters

    1 publications · 147 citations

    1

    h-index

  4. Continental Shelf Research

    1 publications · 16 citations

    1

    h-index

  5. Advances in Atmospheric Sciences

    1 publications · 52 citations

    1

    h-index

1–5