User Trust Evaluation

User Trust Evaluation is a methodological framework within the field of recommendation systems that assesses the degree to which users perceive a recommender system as reliable, credible, and intentioned toward their best interests based on observable behaviors, system characteristics, and contextual interactions.

296

Publications

14.9K

Citations

913

Authors

377

Institutions

Publications per year

2017–2026

131

Authors

913

  1. YW
    Yan Wang

    Macquarie University, Australia

    11 publications · 663 citations

    11

    h-index

  2. ZY
    Zheng Yan

    Xidian University, China

    9 publications · 316 citations

    9

    h-index

  3. CL
    Chuang Lin

    Tsinghua University, China

    5 publications · 229 citations

    5

    h-index

  4. GW
    Guojun Wang

    Central South University, China

    4 publications · 364 citations

    4

    h-index

  5. ZS
    Zhou Su

    Xi'an Jiaotong University, China

    4 publications · 191 citations

    4

    h-index

1–5 of 913

Venues

  1. IEEE Access

    8 publications · 263 citations

    8

    h-index

  2. 5

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 119 citations

    4

    h-index

  4. Knowledge-Based Systems

    4 publications · 131 citations

    4

    h-index

  5. IEEE Internet of Things Journal

    4 publications · 234 citations

    4

    h-index

1–5