Language Learning Recommender Systems

Language Learning Recommender Systems is a specialized type of educational recommender system that leverages artificial intelligence to provide personalized language learning content, resources, or pathways by analyzing learners’ linguistic profiles, performance data, and learning contexts.

25

Publications

2.6K

Citations

82

Authors

30

Institutions

Publications per year

2017–2026

20

Authors

82

  1. XH
    Xiangnan He

    University of Science and Technology of China, China

    2 publications · 114 citations

    2

    h-index

  2. MH
    Mei‐Hua Hsu

    China Medical University, Taiwan

    2 publications · 184 citations

    2

    h-index

  3. YL
    Yuanchao Liu

    Harbin Institute of Technology, China

    1 publications · 23 citations

    1

    h-index

  4. JB
    Jasmine Benn

    1 publications · 10 citations

    1

    h-index

  5. LS
    Lei Sha

    Peking University, China

    1 publications · 22 citations

    1

    h-index

1–5 of 82

Venues

  1. Expert Systems with Applications

    4 publications · 258 citations

    4

    h-index

  2. Electronics

    1 publications · 29 citations

    1

    h-index

  3. Language learning & technology

    LLT · 1 publications · 41 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 23 citations

    1

    h-index

  5. Computational Intelligence

    1 publications · 401 citations

    1

    h-index

1–5