Query Drift

Query Drift is a phenomenon in probabilistic retrieval where the semantic content of a query progressively deviates from its original intent due to iterative reformulation or feedback processes, leading to a degradation in retrieval accuracy over successive iterations.

15

Publications

1.3K

Citations

47

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

47

  1. OK
    Oren Kurland

    Technion – Israel Institute of Technology, Israel

    2 publications · 207 citations

    2

    h-index

  2. FF
    Fei Fang

    Ningbo University, China

    1 publications · 11 citations

    1

    h-index

  3. FR
    Fiana Raiber

    Technion – Israel Institute of Technology, Israel

    1 publications · 162 citations

    1

    h-index

  4. SK
    Srikanth Kandula

    Microsoft (United States), United States

    1 publications · 27 citations

    1

    h-index

  5. CB
    Chris Buckley

    Cornell University, United States

    1 publications · 556 citations

    1

    h-index

1–5 of 47

Venues

  1. Information Systems

    1 publications · 35 citations

    1

    h-index

  2. 1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 70 citations

    1

    h-index

  4. 1

    h-index

  5. ACM Transactions on Information Systems

    1 publications · 162 citations

    1

    h-index

1–5