User Preference Heterogeneity

User Preference Heterogeneity is a construct in diversity-aware recommendation systems that captures the variation in individual users' item valuation patterns across different contexts, thereby distinguishing it from aggregate population-level preference models by emphasizing idiosyncratic, fine-grained differences in user-level tastes and decision-making criteria.

96

Publications

4.9K

Citations

328

Authors

161

Institutions

Publications per year

2017–2026

55

Authors

328

  1. IC
    Iván Cantador

    Universidad Autónoma de Madrid, Spain

    4 publications · 418 citations

    4

    h-index

  2. TK
    Tsvi Kuflik

    University of Haifa, Israel

    3 publications · 336 citations

    3

    h-index

  3. HY
    Hai Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 161 citations

    3

    h-index

  4. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    3 publications · 336 citations

    3

    h-index

  5. GM
    Gabriella Mazzulla

    University of Calabria, Italy

    2 publications · 156 citations

    2

    h-index

1–5 of 328

Venues

  1. 4

    h-index

  2. ACM Transactions on Information Systems

    2 publications · 53 citations

    2

    h-index

  3. Journal of Marketing Research

    2 publications · 747 citations

    2

    h-index

  4. Transportation Research Part B Methodological

    2 publications · 73 citations

    2

    h-index

  5. Transportation research procedia

    TRPRO · 2 publications · 32 citations

    2

    h-index

1–5