Trust-aware Recommendation

Trust-Aware Recommendation is a type of recommendation approach that incorporates user-to-user trust relationships into the prediction model to enhance recommendation accuracy and reliability by leveraging trusted peers' preferences.

759

Publications

45.7K

Citations

2.1K

Authors

793

Institutions

Publications per year

2017–2026

355

Authors

2.1K

  1. GG
    Guibing Guo

    Northeastern University, China

    12 publications · 1.5K citations

    12

    h-index

  2. SA
    Sajad Ahmadian

    Kermanshah University of Technology, Iran

    9 publications · 735 citations

    9

    h-index

  3. YW
    Yan Wang

    Macquarie University, Australia

    9 publications · 434 citations

    9

    h-index

  4. PM
    Parham Moradi

    University of Kurdistan, Iran

    8 publications · 638 citations

    8

    h-index

  5. JZ
    Jie Zhang

    Nanyang Technological University, Singapore

    8 publications · 1.1K citations

    8

    h-index

1–5 of 2.1K

Venues

  1. Expert Systems with Applications

    31 publications · 1.9K citations

    25

    h-index

  2. Knowledge-Based Systems

    24 publications · 2K citations

    22

    h-index

  3. Information Sciences

    25 publications · 1.1K citations

    20

    h-index

  4. IEEE Access

    19 publications · 556 citations

    13

    h-index

  5. Applied Intelligence

    12 publications · 358 citations

    12

    h-index

1–5