I’m a Ph.D. student in the Data Intelligence and Learning Lab (DIAL Lab) at Sungkyunkwan University (SKKU), where I’m fortunate to be advised by Prof. Jongwuk Lee. I received my B.S. degree in Mechanical Engineering from SKKU in 2020. My research focuses on Representation learning for Collaborative Filtering, Unbiased Recommender Learning, and Efficient Recommendation. Recently, I’ve been exploring the integration of large language models with recommender systems. My Curriculum Vitae is Here.

Publications

International Conference

Enhancing Time Awareness in Generative Recommendation
Sunkyung Lee, Seongmin Park, Jonghyo Kim, Mincheol Yoon, Jongwuk Lee
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP findings)
Suzhou, China, November 5-9, 2025

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation [paper] [code]
Ilwoong Baek*, Mincheol Yoon*, Seongmin Park, Jongwuk Lee (* : equal contribution)
The 34th ACM International Conference on Information and Knowledge Management (CIKM)
Seoul, Republic of Korea, November 10-14, 2025 (Acceptance Rate: 27%, 443/1627)

LLM-Enhanced Linear Autoencoders for Recommendation [paper] [code]
Jaewan Moon*, Seongmin Park*, Jongwuk Lee (* : equal contribution)
The 34th ACM International Conference on Information and Knowledge Management (CIKM, short paper)
Seoul, Republic of Korea, November 10-14, 2025 (Acceptance Rate: 30.6%, 185/604)

Why is Normalization Necessary for Linear Recommenders? [paper] [code]
Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Padua, Italy, July 13-17, 2025 (Acceptance Rate: 21.5%, 238/1105)

Linear Item-Item Models with Neural Knowledge for Session-based Recommendation [paper] [code]
Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Padua, Italy, July 13-17, 2025 (Acceptance Rate: 21.5%, 238/1105)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences [paper] [code]
Heejin Kook*, Junyoung Kim*, Seongmin Park, Jongwuk Lee (* : equal contribution)
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
Albuquerque, New Mexico, USA, April 29-May 4, 2025 (Acceptance Rate: 22.15%, 719/3246)

Temporal Linear Item-Item Model for Sequential Recommendation [paper] [code]
Seongmin Park*, Mincheol Yoon*, Minjin Choi, Jongwuk Lee (* : equal contribution)
The 18th ACM International Conference on Web Search and Data Mining (WSDM)
Hannover, Germany, March 10-14, 2025 (Acceptance Rate: 17.3%, 106/614, Oral Presentation (Top 6.5%))

Toward a Better Understanding of Loss Functions for Collaborative Filtering [paper] [code]
Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee
The 32nd ACM International Conference on Information and Knowledge Management (CIKM)
Birmingham, UK, October 21-25, 2023 (Acceptance Rate: 24%, 354/1472)

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering [paper] [code]
Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper)
Taipei, Taiwan, July 23-27, 2023 (Acceptance Rate: 25.12%, 154/613)

Bilateral Self-unbiased Learning from Biased Implicit Feedback [paper] [code]
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Madrid, Spain, July 11-15, 2022 (Acceptance Rate: 20%, 161/794)

Dual Unbiased Recommender Learning for Implicit Feedback [paper] [code]
Jae-woong Lee, Seongmin Park, Jongwuk Lee
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper)
Online (Virtual Event), July 11-15, 2021 (Acceptance Rate: 27.6%, 145/526)

Domestic Conference and Journal

추론 경로를 통한 거대언어모델 기반 제로샷 대화형 추천시스템 성능 개선 [paper]
국희진, 박성민, 이종욱
정보과학회논문지 (Journal of KIISE) Vol.52 No.7 [2025]: 617-626, Jul 2025

사고 연쇄 프롬프팅을 통한 거대 언어 모델의 영화 도메인에 대한 지식 평가 및 분석 [paper]
나정우*, 국희진*, 박성민, 문재완, 이종욱 (* : equal contribution)
한국정보과학회 학술발표논문집, Jun 2022