Document Reweighting

Document Reweighting is a retrieval optimization technique in information retrieval that adjusts the weights of documents in the ranked result list based on relevance feedback to improve the accuracy of subsequent retrieval outputs.

11

Publications

624

Citations

29

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

29

  1. AZ
    Agus Zainal Arifin

    Sepuluh Nopember Institute of Technology, Indonesia

    2 publications · 43 citations

    2

    h-index

  2. MA
    Muhammad Ali Fauzi

    University of Brawijaya, Indonesia

    2 publications · 43 citations

    2

    h-index

  3. AY
    Anny Yuniarti

    Sepuluh Nopember Institute of Technology, Indonesia

    2 publications · 43 citations

    2

    h-index

  4. RC
    Ronan Cummins

    Ollscoil na Gaillimhe – University of Galway, Ireland

    1 publications · 47 citations

    1

    h-index

  5. BM
    Byeong Man Kim

    Kumoh National Institute of Technology, South Korea

    1 publications · 30 citations

    1

    h-index

1–5 of 29

Venues

  1. 1

    h-index

  2. Information Retrieval

    1 publications · 47 citations

    1

    h-index

  3. IEEE Transactions on Evolutionary Computation

    1 publications · 38 citations

    1

    h-index

  4. Journal of the American Society for Information Science

    JASIS · 1 publications · 153 citations

    1

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 11 citations

    1

    h-index

1–5