Seongmin Park

23 papers A* 5A 4Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation.
KDD (1)
Hyunsoo Kim, Jaewan Moon, Seongmin Park, Jongwuk Lee
2026 J jnl
MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation.
CoRR
Hyunsoo Kim, Jaewan Moon, Seongmin Park, Jongwuk Lee
2025 — conf
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences.
NAACL (Long Papers)
Heejin Kook, Junyoung Kim, Seongmin Park, Jongwuk Lee
2025 J jnl
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences.
CoRR
Heejin Kook, Junyoung Kim, Seongmin Park, Jongwuk Lee
2025 — conf
Enhancing Time Awareness in Generative Recommendation.
EMNLP (Findings)
Sunkyung Lee, Seongmin Park, Jonghyo Kim, Mincheol Yoon, Jongwuk Lee
2025 J jnl
Enhancing Time Awareness in Generative Recommendation.
CoRR
Sunkyung Lee, Seongmin Park, Jonghyo Kim, Mincheol Yoon, Jongwuk Lee
2025 A conf
LLM-Enhanced Linear Autoencoders for Recommendation.
CIKM
Jaewan Moon, Seongmin Park, Jongwuk Lee
2025 J jnl
LLM-Enhanced Linear Autoencoders for Recommendation.
CoRR
Jaewan Moon, Seongmin Park, Jongwuk Lee
2025 J jnl
Linear Item-Item Model with Neural Knowledge for Session-based Recommendation.
CoRR
Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee
2025 A* conf
Linear Item-Item Models with Neural Knowledge for Session-based Recommendation.
SIGIR
Minjin Choi, Sunkyung Lee, Seongmin Park, Jongwuk Lee
2025 A conf
MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation.
CIKM
Ilwoong Baek, Mincheol Yoon, Seongmin Park, Jongwuk Lee
2025 J jnl
MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation.
CoRR
Ilwoong Baek, Mincheol Yoon, Seongmin Park, Jongwuk Lee
2025 A conf
Temporal Linear Item-Item Model for Sequential Recommendation.
WSDM
Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee
2025 A* conf
Why is Normalization Necessary for Linear Recommenders?
SIGIR
Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
2025 J jnl
Why is Normalization Necessary for Linear Recommenders?
CoRR
Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee
2024 J jnl
Temporal Linear Item-Item Model for Sequential Recommendation.
CoRR
Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee
2023 A conf
Toward a Better Understanding of Loss Functions for Collaborative Filtering.
CIKM
Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee
2023 J jnl
Toward a Better Understanding of Loss Functions for Collaborative Filtering.
CoRR
Seongmin Park, Mincheol Yoon, Jae-woong Lee, Hogun Park, Jongwuk Lee
2023 A* conf
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
SIGIR
Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee
2023 J jnl
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
CoRR
Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee
2022 A* conf
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
SIGIR
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
2022 J jnl
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
CoRR
Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee
2021 A* conf
Dual Unbiased Recommender Learning for Implicit Feedback.
SIGIR
Jae-woong Lee, Seongmin Park, Jongwuk Lee