Concepedia

Trust-aware Knowledge Graph Recommendation

Trust-Aware Knowledge Graph Recommendation is a recommendation framework that integrates user trust relationships and knowledge graph structures to enhance recommendation accuracy by leveraging both social trust signals and semantic knowledge associations.

1

Publications

10

Citations

0

Authors

0

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–2 of 1

Authors

0

  1. BS
    Bin Song

    Xidian University, China

    1 publications · 10 citations

    0

    h-index

  2. JG
    Jie Guo

    Xidian University, China

    1 publications · 10 citations

    0

    h-index

  3. CC
    Chen Chen

    Xidian University, China

    1 publications · 10 citations

    0

    h-index

  4. JC
    Jianglong Chang

    Xidian University, China

    1 publications · 10 citations

    0

    h-index

  5. YZ
    Yan Zhou

    Xidian University, China

    1 publications · 10 citations

    0

    h-index

1–5 of 0

Institutions

0

  1. Xidian University

    Xi'an, China

    1 publications

    10 citations

  2. China Mobile (China)

    Beijing, China

    1 publications

    10 citations

  3. Shenzhen University

    Shenzhen, China

    1 publications

    10 citations

  4. University of Sheffield

    Sheffield, United Kingdom

    1 publications

    13 citations

  5. University of Oxford

    Oxford, United Kingdom

    1 publications

    13 citations

  6. Amazon (United States)

    Seattle, United States

    1 publications

    13 citations

  7. University of Bristol

    Bristol, United Kingdom

    1 publications

    13 citations

1–7 of 0

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 10 citations

  2. Knowledge-Based Systems

    1 publications · 13 citations

1–2