Similarity Computation

Similarity Computation is a methodological construct within knowledge-based recommendation systems that quantifies the degree of likeness between knowledge elements—such as user profiles, items, or attributes—by employing domain-specific features or semantic relations to enable personalized suggestion generation.

2.2K

Publications

122.4K

Citations

6.2K

Authors

1.8K

Institutions

Publications per year

2017–2026

804

Authors

6.2K

  1. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    11 publications · 781 citations

    11

    h-index

  2. YS
    Yizhou Sun

    University of California, Los Angeles, United States

    10 publications · 2.8K citations

    10

    h-index

  3. RC
    Ramon Carbó‐Dorca

    Universitat de Girona, Spain

    10 publications · 339 citations

    10

    h-index

  4. MT
    Mingdong Tang

    Hunan University of Science and Technology, China

    9 publications · 815 citations

    9

    h-index

  5. GS
    Giovanni Semeraro

    University of Bari Aldo Moro, Italy

    8 publications · 594 citations

    8

    h-index

1–5 of 6.2K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 30 publications · 3.9K citations

    23

    h-index

  2. Expert Systems with Applications

    26 publications · 2K citations

    23

    h-index

  3. IEEE Access

    43 publications · 1.3K citations

    22

    h-index

  4. arXiv (Cornell University)

    Repository · 39 publications · 7.6K citations

    20

    h-index

  5. Procedia Computer Science

    24 publications · 664 citations

    17

    h-index

1–5