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
25
LLaRA: Large Language-Recommendation Assistant
Jiayi Liao, Sihang Li, Zhengyi Yang et al. · 2024 · 89 citations · Full text
Peng Liu, Lemei Zhang, Jon Atle Gulla · Transactions of the Association for Computational Linguistics · 2023 · 80 citations · Full text
1–5 of 25
82
2
h-index
2
h-index
1
h-index
1 publications · 10 citations
1
h-index
1
h-index
1–5 of 82
30

Renmin University of China
Beijing, China
2 h-index
7 publications
339 citations
Chang Gung University of Science and Technology
Taoyuan District, Taiwan
2 h-index
2 publications
184 citations
University of Science and Technology of China
Hefei, China
2 h-index
13 publications
709 citations
Shenyang Pharmaceutical University
Shenyang, China
1 h-index
1 publications
12 citations
Norwegian University of Science and Technology
Trondheim, Norway
1 h-index
3 publications
240 citations
Telefonica Research and Development
Madrid, Spain
1 h-index
1 publications
22 citations

Beijing Institute of Technology
Beijing, China
1 h-index
1 publications
56 citations

University of Glasgow
Glasgow, United Kingdom
1 h-index
2 publications
44 citations
1–8 of 30
4 publications · 258 citations
4
h-index
1 publications · 29 citations
1
h-index
LLT · 1 publications · 41 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 401 citations
1
h-index
1–5