Trust Graphs

Trust Graphs is a structured representation in the form of a directed graph that models trust relationships among users in a recommender system, where nodes denote users and edges encode the degree and direction of trust, thereby augmenting collaborative filtering with social trust information to improve recommendation accuracy and reliability.

157

Publications

9.7K

Citations

462

Authors

213

Institutions

Publications per year

2017–2026

47

Authors

462

  1. JG
    Jennifer Golbeck

    University of Maryland, College Park, United States

    5 publications · 264 citations

    5

    h-index

  2. GW
    Guojun Wang

    Central South University, China

    4 publications · 364 citations

    4

    h-index

  3. YK
    Yongdae Kim

    University of Minnesota, United States

    4 publications · 175 citations

    4

    h-index

  4. WJ
    Wenjun Jiang

    Hunan University, China

    4 publications · 364 citations

    4

    h-index

  5. JS
    John S. Baras

    University of Maryland, College Park, United States

    3 publications · 774 citations

    3

    h-index

1–5 of 462

Venues

  1. Knowledge-Based Systems

    8 publications · 679 citations

    8

    h-index

  2. Expert Systems with Applications

    4 publications · 228 citations

    4

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 3 publications · 135 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 99 citations

    3

    h-index

  5. Future Generation Computer Systems

    FGCS · 3 publications · 216 citations

    3

    h-index

1–5