Search Task Modeling

Search Task Modeling is a computational framework that characterizes the structure, goals, and dynamics of user information needs in interactive information retrieval by identifying task-specific intent, context, and progression patterns from search log data.

240

Publications

15K

Citations

614

Authors

268

Institutions

Publications per year

2017–2026

55

Authors

614

  1. RW
    Ryen W. White

    Microsoft (United States), United States

    12 publications · 1.2K citations

    12

    h-index

  2. NJ
    Nicholas J. Belkin

    Rutgers, The State University of New Jersey, United States

    9 publications · 311 citations

    9

    h-index

  3. CS
    Chirag Shah

    Rutgers, The State University of New Jersey, United States

    8 publications · 309 citations

    8

    h-index

  4. EY
    Emine Yılmaz

    University College London, United Kingdom

    6 publications · 120 citations

    6

    h-index

  5. SD
    Susan Dumais

    Microsoft (United States), United States

    6 publications · 775 citations

    6

    h-index

1–5 of 614

Venues

  1. 6

    h-index

  2. Information Processing & Management

    5 publications · 293 citations

    5

    h-index

  3. Journal of Vision

    5 publications · 278 citations

    5

    h-index

  4. ACM Transactions on Information Systems

    4 publications · 150 citations

    4

    h-index

  5. Journal of Documentation

    4 publications · 107 citations

    4

    h-index

1–5