Context-aware Trust Modeling

Context-Aware Trust Modeling is a trust-aware recommendation framework that extends general trust modeling by explicitly incorporating situational contextual factors—such as temporal, spatial, or social contexts—to dynamically refine the representation and influence of user trust relationships in personalized recommendations.

61

Publications

2.5K

Citations

216

Authors

107

Institutions

Publications per year

2017–2026

30

Authors

216

  1. YW
    Yan Wang

    Macquarie University, Australia

    7 publications · 207 citations

    7

    h-index

  2. GL
    Guanfeng Liu

    Macquarie University, Australia

    4 publications · 108 citations

    4

    h-index

  3. ZL
    Zhiquan Liu

    Jinan University, China

    3 publications · 176 citations

    3

    h-index

  4. XZ
    Xiuzhen Zhang

    RMIT University, Australia

    3 publications · 59 citations

    3

    h-index

  5. AA
    Ayesha Altaf

    University of Engineering and Technology Lahore, Pakistan

    3 publications · 73 citations

    3

    h-index

1–5 of 216

Venues

  1. IEEE Access

    6 publications · 221 citations

    6

    h-index

  2. IEEE Internet of Things Journal

    4 publications · 231 citations

    4

    h-index

  3. Knowledge-Based Systems

    3 publications · 133 citations

    3

    h-index

  4. World Wide Web

    3 publications · 95 citations

    3

    h-index

  5. Expert Systems with Applications

    1 publications · 14 citations

    1

    h-index

1–5