Content-based Item Representation

Content-Based Item Representation is a formal academic construct in the field of item modeling that characterizes an item through its intrinsic features and attributes, distinguishing it from other item representation approaches by relying solely on the content-specific information inherent to the item rather than on relational or contextual data.

11

Publications

585

Citations

36

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

36

  1. LH
    Lesa Hoffman

    University of Nebraska–Lincoln, United States

    1 publications · 83 citations

    1

    h-index

  2. BE
    Brita Elvevåg

    National Institute of Mental Health, United States

    1 publications · 20 citations

    1

    h-index

  3. JZ
    Jianjun Zhu

    Jiangsu University, China

    1 publications · 20 citations

    1

    h-index

  4. HC
    Hsin‐Yi Chen

    China Medical University, Taiwan

    1 publications · 20 citations

    1

    h-index

  5. DJ
    David Jarjoura

    The Ohio State University, United States

    1 publications · 74 citations

    1

    h-index

1–5 of 36

Venues

  1. Psychiatry Research

    2 publications · 103 citations

    2

    h-index

  2. Multivariate Behavioral Research

    MBR · 1 publications · 11 citations

    1

    h-index

  3. 中華心理學刊

    1 publications · 20 citations

    1

    h-index

  4. Applied Measurement in Education

    1 publications · 20 citations

    1

    h-index

  5. Proceedings of the 30th ACM International Conference on Multimedia

    Conference · 1 publications · 17 citations

    1

    h-index

1–5