Interactive Evaluation

Interactive Evaluation is an evaluation methodology within the field of recommender systems that distinguishes itself by assessing system performance through real-time, dynamic user-system interactions, as opposed to offline or static user studies, thereby capturing the temporal and behavioral nuances of user feedback during the recommendation process.

120

Publications

5.3K

Citations

414

Authors

173

Institutions

Publications per year

2017–2026

34

Authors

414

  1. MH
    Minlie Huang

    Tsinghua University, China

    3 publications · 117 citations

    3

    h-index

  2. PC
    Paul Clough

    University of Sheffield, United Kingdom

    3 publications · 49 citations

    3

    h-index

  3. DL
    Dimitris Laskaris

    University of Crete, Greece

    2 publications · 31 citations

    2

    h-index

  4. BP
    Baolin Peng

    Microsoft (United States), United States

    2 publications · 68 citations

    2

    h-index

  5. RC
    Ray Christian

    NetApp (United States), United States

    2 publications · 64 citations

    2

    h-index

1–5 of 414

Venues

  1. 3

    h-index

  2. Cytometry

    2 publications · 92 citations

    2

    h-index

  3. ACM Transactions on Database Systems

    TODS · 2 publications · 146 citations

    2

    h-index

  4. International Journal of Technology Enhanced Learning

    IJTEL · 2 publications · 31 citations

    2

    h-index

  5. F1000Research

    2 publications · 65 citations

    2

    h-index

1–5