Term Dependencies

Term Dependencies is a probabilistic retrieval construct that captures the statistical interrelationships between terms in a document or query, distinguishing itself from independent term models by explicitly modeling the conditional probabilities of term co-occurrence to improve retrieval accuracy.

403

Publications

31.5K

Citations

1.3K

Authors

454

Institutions

Publications per year

2017–2026

279

Authors

1.3K

  1. YB
    Yoshua Bengio

    Université de Montréal, Canada

    17 publications · 1.6K citations

    14

    h-index

  2. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    11 publications · 1.6K citations

    11

    h-index

  3. JN
    Jian‐Yun Nie

    Université de Montréal, Canada

    9 publications · 697 citations

    9

    h-index

  4. NR
    Nan Rosemary Ke

    Université de Montréal, Canada

    5 publications · 158 citations

    5

    h-index

  5. GC
    Guihong Cao

    Université de Montréal, Canada

    5 publications · 495 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 68 publications · 4.7K citations

    30

    h-index

  2. IEEE Access

    7 publications · 1K citations

    7

    h-index

  3. Applied Sciences

    4 publications · 801 citations

    4

    h-index

  4. Scientific Reports

    4 publications · 270 citations

    4

    h-index

  5. Neurocomputing

    4 publications · 141 citations

    4

    h-index

1–5