Citation Graph-based User-Adaptive Scholarly Literature and Patent Recommendation System

Aug 18, 2026·
Woonghee Lee
,
Soo-Hyun Kim
,
Se-young Kim
,
Hyung Joon Bang
,
Young-Hoon Seong
,
Yong Youn
,
Kanghoon Yim
,
In-sub Han
· 0 min read
Abstract
A personalized recommendation system that expands candidate literature by following citation links from user-provided seed papers and identifies scholarly publications, patents, and technical reports relevant to each researcher’s interests. It combines citation metadata, journal-quality indicators, and large-language-model-based relevance assessment while supporting abstract retrieval, Korean translation, and iterative recommendation based on user feedback. Registered to the Korea Institute of Energy Research as a work made for hire (creation 2026-07-09, registration 2026-08-18).
Type
Publication
Software Copyright Registration · Korea Copyright Commission
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