Personalization Evaluation

Personalization Evaluation is a scholarly assessment framework within recommendation system research that specifically measures the effectiveness of adaptive mechanisms in tailoring item relevance to individual user preferences and behaviors.

136

Publications

7.8K

Citations

384

Authors

175

Institutions

Publications per year

2017–2026

41

Authors

384

  1. MD
    Michael D. Ekstrand

    Boise State University, United States

    6 publications · 556 citations

    6

    h-index

  2. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    4 publications · 143 citations

    4

    h-index

  3. PP
    Pearl Pu

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 121 citations

    3

    h-index

  4. IG
    Ido Guy

    IBM Research - Haifa, Israel

    3 publications · 321 citations

    3

    h-index

  5. MC
    Martijn C. Willemsen

    Eindhoven University of Technology, Netherlands

    3 publications · 346 citations

    3

    h-index

1–5 of 384

Venues

  1. Communications of the ACM

    4 publications · 599 citations

    4

    h-index

  2. Computers in Human Behavior

    4 publications · 392 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 91 citations

    3

    h-index

  4. 2

    h-index

  5. ACM Transactions on Recommender Systems

    2 publications · 113 citations

    2

    h-index

1–5