Query Filtering

Query Filtering is a method in information filtering systems that selectively retrieves or ranks content based on the dynamic analysis of user queries, distinguishing itself from other filtering approaches by operating directly on query representations rather than on user profiles or static content features.

57

Publications

2.8K

Citations

166

Authors

84

Institutions

Publications per year

2017–2026

7

Authors

166

  1. YD
    Yannis Drougas

    University of California, Riverside, United States

    2 publications · 56 citations

    2

    h-index

  2. CT
    Christos Tryfonopoulos

    University of Peloponnese, Greece

    2 publications · 56 citations

    2

    h-index

  3. AC
    Allyson Carlyle

    University of Washington, United States

    2 publications · 51 citations

    2

    h-index

  4. MK
    Manolis Koubarakis

    National and Kapodistrian University of Athens, Greece

    2 publications · 56 citations

    2

    h-index

  5. DA
    Daniel A. Keim

    University of Konstanz, Germany

    1 publications · 55 citations

    1

    h-index

1–5 of 166

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 66 citations

    3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 102 citations

    3

    h-index

  3. Information Processing & Management

    3 publications · 68 citations

    3

    h-index

  4. ACM Transactions on Information Systems

    2 publications · 69 citations

    2

    h-index

  5. Journal of the American Society for Information Science

    JASIS · 2 publications · 51 citations

    2

    h-index

1–5