Knowledge-aware Recommendation

Knowledge-Aware Recommendation is a recommendation framework that incorporates structured knowledge graphs to enhance recommendation accuracy by exploiting semantic relationships and auxiliary information beyond user-item interactions.

495

Publications

26.2K

Citations

1.8K

Authors

524

Institutions

Publications per year

2017–2026

388

Variants

Knowledge Graph-based RecommendationKnowledge Graph-enhanced Recommendation

Authors

1.8K

  1. AF
    Alexander Felfernig

    Graz University of Technology, Austria

    11 publications · 665 citations

    11

    h-index

  2. WX
    Wayne Xin Zhao

    Renmin University of China, China

    9 publications · 978 citations

    9

    h-index

  3. CH
    Chao Huang

    University of Hong Kong, Hong Kong SAR China

    9 publications · 1.5K citations

    9

    h-index

  4. LX
    Lianghao Xia

    University of Hong Kong, Hong Kong SAR China

    8 publications · 1.4K citations

    8

    h-index

  5. XX
    Xing Xie

    Microsoft Research Asia (China), China

    8 publications · 3.3K citations

    8

    h-index

1–5 of 1.8K

Venues

  1. Expert Systems with Applications

    32 publications · 1.4K citations

    19

    h-index

  2. Knowledge-Based Systems

    32 publications · 1.2K citations

    19

    h-index

  3. arXiv (Cornell University)

    Repository · 15 publications · 543 citations

    12

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 14 publications · 703 citations

    12

    h-index

  5. Information Sciences

    13 publications · 468 citations

    11

    h-index

1–5