Algorithm Update Adaptation

Algorithm Update Adaptation is a strategic response framework in search engine optimization that enables systems to dynamically recalibrate ranking and indexing protocols in reaction to changes in search engine algorithms, distinguishing it from static optimization techniques by its adaptive, real-time alignment with evolving algorithmic criteria.

23

Publications

614

Citations

80

Authors

40

Institutions

Publications per year

2017–2026

7

Authors

80

  1. SC
    Saar Cohen

    Johns Hopkins University Applied Physics Laboratory, United States

    2 publications · 39 citations

    2

    h-index

  2. HZ
    Hong Zhang

    Chinese Academy of Sciences, China

    2 publications · 57 citations

    2

    h-index

  3. ZY
    Zhou Yang

    Singapore Management University, Singapore

    2 publications · 57 citations

    2

    h-index

  4. JJ
    Juncheng Jia

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 57 citations

    2

    h-index

  5. MT
    Mulai Tan

    Air Force Engineering University, China

    1 publications · 60 citations

    1

    h-index

1–5 of 80

Venues

  1. Decision Support Systems

    1 publications · 11 citations

    1

    h-index

  2. 1

    h-index

  3. The VLDB Journal

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Signal Processing Letters

    1 publications · 14 citations

    1

    h-index

1–5