Reasoning-based Recommendation

Reasoning-Based Recommendation is a knowledge-based recommendation approach that leverages logical, symbolic, or interpretable inference mechanisms to derive recommendations by explicitly modeling domain knowledge and user preferences through structured reasoning processes.

91

Publications

3.7K

Citations

330

Authors

127

Institutions

Publications per year

2017–2026

42

Authors

330

  1. MR
    Manuel Ramos‐Cabrer

    Universidade de Vigo, Spain

    6 publications · 311 citations

    6

    h-index

  2. AG
    Alberto Gil‐Solla

    Universidade de Vigo, Spain

    6 publications · 311 citations

    6

    h-index

  3. YB
    Yolanda Blanco‐Fernández

    Universidade de Vigo, Spain

    6 publications · 311 citations

    6

    h-index

  4. ML
    Martín López‐Nores

    Universidade de Vigo, Spain

    6 publications · 311 citations

    6

    h-index

  5. JJ
    José J. Pazos‐Arias

    Universidade de Vigo, Spain

    5 publications · 300 citations

    5

    h-index

1–5 of 330

Venues

  1. Expert Systems with Applications

    7 publications · 302 citations

    7

    h-index

  2. Knowledge-Based Systems

    4 publications · 260 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 55 citations

    4

    h-index

  4. IEEE Transactions on Consumer Electronics

    3 publications · 126 citations

    3

    h-index

  5. Neurocomputing

    2 publications · 60 citations

    2

    h-index

1–5