9 citations · 11 across the 8 of their papers we have counts for
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cs.IR2026
Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
Seokho Ahn, Sungbok Shin, Young-Duk Seo
Rich and informative profiling to capture user preferences is essential for improving recommendation quality. However, there is still no consensus on how best to construct and util…
cs.IR2025★ 9 cited
RecKG: Knowledge Graph for Recommender Systems
Junhyuk Kwon, Seokho Ahn, Young-Duk Seo
Knowledge graphs have proven successful in integrating heterogeneous data across various domains. However, there remains a noticeable dearth of research on their seamless integrati…
cs.IR2024★ 2 cited
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
Minhye Jeon, Seokho Ahn, Young-Duk Seo
The use of knowledge graphs in recommender systems has become one of the common approaches to addressing data sparsity and cold start problems. Recent advances in large language mo…