Information Filtering

Information Filtering is a process in Information Retrieval that selectively routes incoming information to users based on their predefined profiles, distinguishing it from other information management processes by its focus on dynamic relevance assessment and continuous delivery over time.

1.7K

Publications

120.4K

Citations

4K

Authors

1.2K

Institutions

Publications per year

2017–2026

318

Authors

4K

  1. SR
    Stephen Robertson

    Microsoft Research (United Kingdom), United Kingdom

    11 publications · 2.3K citations

    11

    h-index

  2. BS
    Bracha Shapira

    Ben-Gurion University of the Negev, Israel

    10 publications · 290 citations

    10

    h-index

  3. JC
    Jamie Callan

    Carnegie Mellon University, United States

    10 publications · 875 citations

    10

    h-index

  4. JA
    Joseph A. Konstan

    University of Minnesota, United States

    9 publications · 17.6K citations

    9

    h-index

  5. PS
    Peretz Shoval

    Ben-Gurion University of the Negev, Israel

    9 publications · 237 citations

    9

    h-index

1–5 of 4K

Venues

  1. Expert Systems with Applications

    39 publications · 2.3K citations

    26

    h-index

  2. Information Processing & Management

    23 publications · 2.5K citations

    19

    h-index

  3. Knowledge-Based Systems

    18 publications · 1.9K citations

    14

    h-index

  4. Communications of the ACM

    13 publications · 9.7K citations

    13

    h-index

  5. Text REtrieval Conference

    Conference · 18 publications · 463 citations

    13

    h-index

1–5