Term Association

Term Association is a modeling construct in vector space retrieval that captures the semantic or statistical relationship between terms within a document representation to enhance retrieval accuracy through improved term-level contextualization.

127

Publications

20.8K

Citations

310

Authors

138

Institutions

Publications per year

2017–2026

10

Authors

310

  1. JA
    Jun‐ichi Aoe

    Tokushima University, Japan

    6 publications · 213 citations

    6

    h-index

  2. GS
    Gerard Salton

    Cornell University, United States

    4 publications · 93 citations

    4

    h-index

  3. SD
    Susan Dumais

    Microsoft (United States), United States

    4 publications · 15K citations

    4

    h-index

  4. EA
    El‐Sayed Atlam

    Tanta University, Egypt

    4 publications · 161 citations

    4

    h-index

  5. MF
    Masao Fuketa

    Tokushima University, Japan

    4 publications · 125 citations

    4

    h-index

1–5 of 310

Venues

  1. Information Processing & Management

    8 publications · 381 citations

    8

    h-index

  2. 7

    h-index

  3. BMC Bioinformatics

    5 publications · 161 citations

    5

    h-index

  4. Journal of the American Society for Information Science

    JASIS · 5 publications · 13.1K citations

    5

    h-index

  5. American Documentation

    5 publications · 290 citations

    5

    h-index

1–5