Knowledge-based Recommendation Systems

Knowledge-Based Recommendation Systems is a recommender system that specifically relies on explicit domain knowledge and user preferences to generate recommendations by reasoning about the functional or physical characteristics of items, distinguishing it from collaborative or content-based approaches through its emphasis on knowledge representation and inference.

505

Publications

29.1K

Citations

1.7K

Authors

565

Institutions

Publications per year

2017–2026

308

Authors

1.7K

  1. AF
    Alexander Felfernig

    Graz University of Technology, Austria

    18 publications · 1K citations

    15

    h-index

  2. GS
    Giovanni Semeraro

    University of Bari Aldo Moro, Italy

    8 publications · 315 citations

    8

    h-index

  3. PL
    Pasquale Lops

    University of Bari Aldo Moro, Italy

    7 publications · 293 citations

    7

    h-index

  4. MZ
    Markus Zanker

    University of Klagenfurt, Austria

    7 publications · 421 citations

    7

    h-index

  5. YB
    Yolanda Blanco‐Fernández

    Universidade de Vigo, Spain

    6 publications · 314 citations

    6

    h-index

1–5 of 1.7K

Venues

  1. Expert Systems with Applications

    35 publications · 2.5K citations

    27

    h-index

  2. Knowledge-Based Systems

    19 publications · 1.1K citations

    16

    h-index

  3. IEEE Access

    16 publications · 590 citations

    14

    h-index

  4. Information Sciences

    10 publications · 586 citations

    10

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 11 publications · 1.4K citations

    10

    h-index

1–5