Context-aware Filtering

Context-Aware Filtering is a type of information filtering system that incorporates situational, environmental, or user-centric contextual data—such as time, location, device, or activity—into the filtering process to improve the relevance and personalization of delivered information.

53

Publications

2.1K

Citations

167

Authors

76

Institutions

Publications per year

2017–2026

12

Authors

167

  1. DD
    Davide Di Ruscio

    University of L'Aquila, Italy

    2 publications · 147 citations

    2

    h-index

  2. KX
    Kaijian Xu

    Nanjing University, China

    2 publications · 46 citations

    2

    h-index

  3. ME
    Maria Ebling

    IBM (United States), United States

    2 publications · 66 citations

    2

    h-index

  4. CB
    Cristiana Bolchini

    Politecnico di Milano, Italy

    2 publications · 62 citations

    2

    h-index

  5. PT
    Phuong T. Nguyen

    University of L'Aquila, Italy

    2 publications · 147 citations

    2

    h-index

1–5 of 167

Venues

  1. Expert Systems with Applications

    3 publications · 151 citations

    3

    h-index

  2. IEEE Access

    2 publications · 84 citations

    2

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 30 citations

    1

    h-index

  4. Computational Intelligence and Neuroscience

    1 publications · 133 citations

    1

    h-index

  5. 1

    h-index

1–5