collaborators

5 papers

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.HC2025

Stop Misusing t-SNE and UMAP for Visual Analytics

Hyeon Jeon, Jeongin Park, Sungbok Shin +1

Misuses of t-SNE and UMAP in visual analytics have become increasingly common. For example, although t-SNE and UMAP projections often do not faithfully reflect the original distanc…

cs.HC2025

Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention

Ambre Assor, Hyeon Jeon, Sungbok Shin +1

We propose leveraging Large Language Models (LLMs) as an interaction layer for medical visualization systems. In domains like healthcare, where users must navigate high-dimensional…

cs.HC2025

Understanding Bias in Perceiving Dimensionality Reduction Projections

Seoyoung Doh, Hyeon Jeon, Sungbok Shin +3

Selecting the dimensionality reduction technique that faithfully represents the structure is essential for reliable visual communication and analytics. In reality, however, practit…

cs.HC2025

Dataset-Adaptive Dimensionality Reduction

Hyeon Jeon, Jeongin Park, Soohyun Lee +3

Selecting the appropriate dimensionality reduction (DR) technique and determining its optimal hyperparameter settings that maximize the accuracy of the output projections typically…