Dojun Hwang

Dojun Hwang

MS student · Korea University

About

I am a first-year master's student in the Department of Computer Science and Engineering at Korea University, where I research data mining as a member of IDEA Lab (Intelligent Data Science and Applications).

My current research interest is LLM-based recommender systems. More broadly, I am drawn to problems at the intersection of information retrieval and language models: how to surface the right information from an overwhelming amount of it, and how to tailor that to each person's context.

Publications

Comparison of previous item profiling approaches with the proposed user-conditioned item profiles

Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders

Dojun Hwang, Seunghan Lee, Cheonyoung Park, Sara Yu and SeongKu Kang

In 35th International ACM Conference on Knowledge and Information Management (CIKM 2026)

Others

DASFAA 2026, April 27-30 2026, Jeju, Korea

Tutorial

Continual Recommender Systems: A Focus on LLMs and Evolving Trends

Seunghan Lee, Seunghyun Baek, Dojun Hwang, Hyunsik Yoo, and SeongKu Kang

In 31st International Conference on Database Systems for Advanced Applications (DASFAA 2026)

Education

Sep 2026 –

M.S. in Computer Science and Engineering

Korea University, Seoul, Korea

Sep 2024 – Dec 2024

Exchange student

The University of British Columbia, Vancouver, BC, Canada

Mar 2019 – Aug 2026

B.S. in Computer Science and Engineering

B.A. in Statistics (double major)

Korea University, Seoul, Korea

  • GPA: 4.48 / 4.50
  • Mar 2021 – Feb 2023: Leave of absence for mandatory military service

Contact