Seongmin Park (박성민)
M.S./Ph.D. student
Department of Artificial Intelligence
Topic: Recommender systems, Representation learning
Email: psm1206 [at] g.skku.edu
Biography
I'm a Ph.D. student at Department of Artificial Intelligence, Sungkyunkwan University (SKKU), Korea. I received my B.S. degree in Mechanical Engineering from SKKU, Korea in 2020.
Favorite quote
"We have two lives, and the second begins when we realize we only have one." - Confucius
Publications
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 (To appear) (Acceptance Rate: 17.3%, 106/614)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 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)
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