Trust Prediction

Trust Prediction is a computational method that belongs to the class of trust-aware recommendation techniques, distinguished by its specific focus on estimating the likelihood or strength of a trust relationship between users based on historical interactions, social connections, or behavioral patterns.

283

Publications

31.1K

Citations

767

Authors

333

Institutions

Publications per year

2017–2026

130

Authors

767

  1. JG
    Jennifer Golbeck

    University of Maryland, College Park, United States

    6 publications · 1.1K citations

    6

    h-index

  2. MA
    Mehmet A. Orgun

    Macquarie University, Australia

    5 publications · 134 citations

    6

    h-index

  3. GG
    Guibing Guo

    Northeastern University, China

    6 publications · 1.2K citations

    6

    h-index

  4. JT
    Jiliang Tang

    Arizona State University, United States

    6 publications · 700 citations

    6

    h-index

  5. EL
    Ee‐Peng Lim

    Singapore Management University, Singapore

    6 publications · 393 citations

    6

    h-index

1–5 of 767

Venues

  1. Knowledge-Based Systems

    11 publications · 758 citations

    11

    h-index

  2. IEEE Access

    10 publications · 489 citations

    10

    h-index

  3. Expert Systems with Applications

    5 publications · 280 citations

    5

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 772 citations

    5

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 380 citations

    5

    h-index

1–5