Item Attribute Modeling

Item Attribute Modeling is a methodological framework within multi-criteria recommendation that characterizes items through structured representations of their intrinsic features, distinguishing itself by explicitly modeling attribute-level preferences to support fine-grained, criterion-aware recommendation decisions.

17

Publications

645

Citations

79

Authors

37

Institutions

Publications per year

2017–2026

11

Authors

79

  1. YC
    Yunxiao Chen

    Columbia University, United States

    2 publications · 203 citations

    2

    h-index

  2. JL
    Jingchen Liu

    Columbia University, United States

    2 publications · 203 citations

    2

    h-index

  3. ZY
    Zhiliang Ying

    Columbia University, United States

    2 publications · 203 citations

    2

    h-index

  4. GX
    Gongjun Xu

    University of Michigan, United States

    2 publications · 203 citations

    2

    h-index

  5. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 79

Venues

  1. 2

    h-index

  2. IEEE Access

    2 publications · 56 citations

    2

    h-index

  3. 1

    h-index

  4. Proceedings of the ACM Web Conference 2022

    Conference · 1 publications · 24 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 24 citations

    1

    h-index

1–5