Logic-based Recommendation

Logic-Based Recommendation is a knowledge-based recommendation approach that employs formal logical systems to represent domain knowledge and infer recommendations through deductive reasoning.

24

Publications

994

Citations

89

Authors

36

Institutions

Publications per year

2017–2026

11

Authors

89

  1. ES
    Edward Szczerbicki

    University of Newcastle Australia, Australia

    1 publications · 11 citations

    1

    h-index

  2. ME
    Manuel Enciso

    Universidad de Málaga, Spain

    1 publications · 20 citations

    1

    h-index

  3. XG
    Xuetao Guo

    University of Technology Sydney, Australia

    1 publications · 92 citations

    1

    h-index

  4. TA
    Tauqir Ahmed

    University of Engineering and Technology Lahore, Pakistan

    1 publications · 31 citations

    1

    h-index

  5. MR
    Mohammed Rashid Chowdury

    North South University, Bangladesh

    1 publications · 31 citations

    1

    h-index

1–5 of 89

Venues

  1. Information Sciences

    2 publications · 111 citations

    2

    h-index

  2. Journal of Intelligent & Fuzzy Systems

    2 publications · 40 citations

    2

    h-index

  3. Fuzzy Sets and Systems

    2 publications · 243 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 200 citations

    2

    h-index

  5. Fundamenta Informaticae

    1 publications · 37 citations

    1

    h-index

1–5