Ranking Features

Ranking Features is a computational attribute or signal used within information retrieval systems to quantify the relevance of a document or item with respect to a given query, distinguished by its role in determining the relative position of results in a ranked list.

168

Publications

10.7K

Citations

563

Authors

261

Institutions

Publications per year

2017–2026

57

Authors

563

  1. GK
    Ganesh Kumar

    University of Ilorin, Nigeria

    3 publications · 96 citations

    3

    h-index

  2. AA
    Abdullahi Abubakar Imam

    Universiti Teknologi Petronas, Malaysia

    3 publications · 96 citations

    3

    h-index

  3. AO
    Abdullateef Oluwagbemiga Balogun

    University of Ilorin, Nigeria

    3 publications · 96 citations

    3

    h-index

  4. TQ
    Tao Qin

    Microsoft Research Asia (China), China

    3 publications · 592 citations

    3

    h-index

  5. SM
    Saipunidzam Mahamad

    Universiti Teknologi Petronas, Malaysia

    3 publications · 96 citations

    3

    h-index

1–5 of 563

Venues

  1. 4

    h-index

  2. Expert Systems with Applications

    3 publications · 135 citations

    3

    h-index

  3. IEEE Access

    3 publications · 656 citations

    3

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 3 publications · 589 citations

    3

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 341 citations

    3

    h-index

1–5