Path-based Explanations

Path-Based Explanations is a type of explainable recommendation approach that generates interpretability by modeling and leveraging explicit sequential or relational paths in knowledge graphs or user-item interaction networks to justify recommendation decisions.

34

Publications

2.9K

Citations

125

Authors

65

Institutions

Publications per year

2017–2026

26

Authors

125

  1. GX
    Guandong Xu

    University of Technology Sydney, Australia

    4 publications · 191 citations

    4

    h-index

  2. YL
    Yicong Li

    University of Arkansas for Medical Sciences, United States

    3 publications · 164 citations

    3

    h-index

  3. HC
    Hongxu Chen

    University of Technology Sydney, Australia

    3 publications · 164 citations

    3

    h-index

  4. CX
    Canran Xu

    University of Wisconsin–Madison, United States

    2 publications · 815 citations

    2

    h-index

  5. XW
    Xiang Wang

    National University of Singapore, Singapore

    2 publications · 815 citations

    2

    h-index

1–5 of 125

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 97 citations

    3

    h-index

  2. Knowledge-Based Systems

    2 publications · 37 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 752 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 91 citations

    2

    h-index

  5. Journal of Purchasing and Supply Management

    1 publications · 75 citations

    1

    h-index

1–5