Constraint-based Recommendation

Constraint-Based Recommendation is a recommendation approach that belongs to the class of knowledge-based methods, distinguished by its incorporation of explicit logical constraints to restrict the solution space and guide the generation of personalized recommendations in multi-stakeholder or complex preference settings.

29

Publications

1.4K

Citations

90

Authors

27

Institutions

Publications per year

2017–2026

9

Authors

90

  1. AF
    Alexander Felfernig

    Graz University of Technology, Austria

    8 publications · 398 citations

    8

    h-index

  2. MZ
    Markus Zanker

    University of Klagenfurt, Austria

    4 publications · 128 citations

    4

    h-index

  3. KI
    Klaus Isak

    University of Klagenfurt, Austria

    3 publications · 53 citations

    3

    h-index

  4. VS
    Vincent S. Tseng

    National Cheng Kung University, Taiwan

    3 publications · 226 citations

    3

    h-index

  5. GN
    Gerald Ninaus

    Graz University of Technology, Austria

    2 publications · 28 citations

    2

    h-index

1–5 of 90

Venues

  1. Journal of Intelligent Information Systems

    2 publications · 62 citations

    2

    h-index

  2. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 2 publications · 38 citations

    2

    h-index

  3. 1

    h-index

  4. AI Communications

    AICOM · 1 publications · 15 citations

    1

    h-index

  5. Asia Pacific Journal of Tourism Research

    APJTR · 1 publications · 57 citations

    1

    h-index

1–5