Trust Feedback Modeling

Trust Feedback Modeling is a computational framework that formalizes the acquisition, representation, and update of user trust signals in recommendation systems through explicit or implicit user interactions, distinguishing itself by integrating temporal and contextual dynamics of trust into personalized recommendation algorithms.

54

Publications

2.1K

Citations

162

Authors

90

Institutions

Publications per year

2017–2026

20

Authors

162

  1. YW
    Yan Wang

    Macquarie University, Australia

    3 publications · 95 citations

    3

    h-index

  2. BS
    Barry Smyth

    University College Dublin, Ireland

    2 publications · 34 citations

    2

    h-index

  3. AM
    Amir Masoud Rahmani

    Islamic Azad University, Science and Research Branch, Iran

    2 publications · 45 citations

    2

    h-index

  4. AC
    Ali Chehab

    American University of Beirut, Lebanon

    2 publications · 47 citations

    2

    h-index

  5. AK
    Ayman Kayssi

    American University of Beirut, Lebanon

    2 publications · 47 citations

    2

    h-index

1–5 of 162

Venues

  1. Applied Intelligence

    5 publications · 192 citations

    5

    h-index

  2. Expert Systems with Applications

    2 publications · 108 citations

    2

    h-index

  3. Information Sciences

    3 publications · 241 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 122 citations

    2

    h-index

  5. Computers in Industry

    1 publications · 35 citations

    1

    h-index

1–5