Ontology-based Recommendation

Ontology-Based Recommendation is a knowledge-based recommendation approach that utilizes formal, structured representations of domain knowledge—ontologies—to enable semantic reasoning, enhance item and user modeling, and improve recommendation accuracy through explicit conceptual relationships.

330

Publications

13.1K

Citations

938

Authors

376

Institutions

Publications per year

2017–2026

112

Authors

938

  1. JJ
    José J. Pazos‐Arias

    Universidade de Vigo, Spain

    7 publications · 265 citations

    7

    h-index

  2. SE
    Stuart E. Middleton

    University of Southampton, United Kingdom

    6 publications · 1.1K citations

    6

    h-index

  3. DD
    David De Roure

    University of Southampton, United Kingdom

    6 publications · 1.1K citations

    6

    h-index

  4. ZK
    Z. K. A. Baizal

    Telkom University, Indonesia

    6 publications · 148 citations

    6

    h-index

  5. IC
    Iván Cantador

    Universidad Autónoma de Madrid, Spain

    6 publications · 343 citations

    6

    h-index

1–5 of 938

Venues

  1. Expert Systems with Applications

    18 publications · 1.4K citations

    18

    h-index

  2. Procedia Computer Science

    7 publications · 336 citations

    7

    h-index

  3. Journal of Intelligent & Fuzzy Systems

    4 publications · 105 citations

    4

    h-index

  4. IEEE Access

    3 publications · 208 citations

    3

    h-index

  5. Open Research Online (The Open University)

    Repository · 3 publications · 170 citations

    3

    h-index

1–5