Interactive Query Refinement

Interactive Query Refinement is a visual querying method that enables users to iteratively modify and narrow spatial query parameters through real-time graphical interactions to improve result accuracy and relevance.

56

Publications

5.4K

Citations

179

Authors

78

Institutions

Publications per year

2017–2026

5

Authors

179

  1. OH
    Orland Hoeber

    University of Regina, Canada

    3 publications · 68 citations

    3

    h-index

  2. NS
    Nenad Stojanović

    FZI Research Center for Information Technology, Germany

    3 publications · 58 citations

    3

    h-index

  3. YY
    Yiyu Yao

    University of Regina, Canada

    3 publications · 64 citations

    3

    h-index

  4. LS
    Ljiljana Stojanović

    FZI Research Center for Information Technology, Germany

    3 publications · 58 citations

    3

    h-index

  5. KS
    Klaus Spitzer

    TU Bergakademie Freiberg, Germany

    2 publications · 56 citations

    2

    h-index

1–5 of 179

Venues

  1. ACM SIGIR Forum

    2 publications · 36 citations

    2

    h-index

  2. Knowledge and Information Systems

    2 publications · 51 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 80 citations

    2

    h-index

  4. ACM SIGMOD Record

    1 publications · 23 citations

    1

    h-index

  5. Applied Artificial Intelligence

    AAI · 1 publications · 20 citations

    1

    h-index

1–5