Query-document Matching

Query-Document Matching is a document representation method that differentiates itself by quantifying the relevance between a user query and a document through semantic or lexical alignment of their respective representations.

197

Publications

10K

Citations

543

Authors

194

Institutions

Publications per year

2017–2026

46

Authors

543

  1. JX
    Jun Xu

    Renmin University of China, China

    6 publications · 341 citations

    6

    h-index

  2. HL
    Hang Li

    Microsoft Research Asia (China), China

    5 publications · 283 citations

    5

    h-index

  3. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    4 publications · 423 citations

    4

    h-index

  4. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    3 publications · 106 citations

    3

    h-index

  5. MB
    Mohand Boughanem

    Université Toulouse III - Paul Sabatier, France

    3 publications · 52 citations

    3

    h-index

1–5 of 543

Venues

  1. Information Processing & Management

    8 publications · 307 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 318 citations

    5

    h-index

  3. Journal of the American Society for Information Science

    JASIS · 5 publications · 280 citations

    5

    h-index

  4. ACM SIGIR Forum

    4 publications · 95 citations

    4

    h-index

  5. 4

    h-index

1–5