Item Context Modeling

Item Context Modeling is a recommendation system methodology that specifically integrates situational and environmental factors associated with an item's usage or consumption to refine preference predictions by distinguishing contextual influences from intrinsic item features.

27

Publications

1.6K

Citations

93

Authors

41

Institutions

Publications per year

2017–2026

13

Authors

93

  1. LN
    Liqiang Nie

    Shandong University, China

    3 publications · 192 citations

    3

    h-index

  2. BS
    Bracha Shapira

    Ben-Gurion University of the Negev, Israel

    2 publications · 38 citations

    2

    h-index

  3. FR
    Francesco Ricci⋆

    Free University of Bozen-Bolzano, Italy

    2 publications · 403 citations

    2

    h-index

  4. ES
    Eric S. Knowles

    University of Wisconsin–Green Bay, United States

    2 publications · 187 citations

    2

    h-index

  5. XS
    Xuemeng Song

    Shandong University, China

    2 publications · 103 citations

    2

    h-index

1–5 of 93

Venues

  1. Journal of Personality and Social Psychology

    2 publications · 187 citations

    2

    h-index

  2. Journal of Applied Psychology

    2 publications · 253 citations

    2

    h-index

  3. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 22 citations

    1

    h-index

  4. ETS Research Report Series

    1 publications · 41 citations

    1

    h-index

  5. Measurement

    1 publications · 22 citations

    1

    h-index

1–5