Inverse Document Frequency

Inverse Document Frequency is a weighting metric in information retrieval that quantifies the discriminative power of a term by measuring the logarithmic inverse of its frequency across a collection of documents, thereby distinguishing it from simpler term frequency measures through its emphasis on rarity as an indicator of informativeness.

669

Publications

36.8K

Citations

2.1K

Authors

831

Institutions

Publications per year

2017–2026

434

Authors

2.1K

  1. AM
    Arif Mehmood

    Yeungnam University, South Korea

    13 publications · 1.3K citations

    12

    h-index

  2. FR
    Furqan Rustam

    Yeungnam University, South Korea

    12 publications · 1.1K citations

    12

    h-index

  3. GS
    Gyu Sang Choi

    Yeungnam University, South Korea

    13 publications · 1.3K citations

    12

    h-index

  4. IA
    Imran Ashraf

    Yeungnam University, South Korea

    13 publications · 961 citations

    12

    h-index

  5. SU
    Saleem Ullah

    Khwaja Fareed University of Engineering and Information Technology, Pakistan

    5 publications · 494 citations

    5

    h-index

1–5 of 2.1K

Venues

  1. IEEE Access

    27 publications · 1.9K citations

    24

    h-index

  2. Applied Sciences

    13 publications · 596 citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 13 publications · 635 citations

    12

    h-index

  4. Procedia Computer Science

    10 publications · 717 citations

    10

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  5. 8

    h-index

1–5