Mincheol Yoon

2025

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MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation.
Ilwoong Baek|Mincheol Yoon|Seongmin Park|Jongwuk Lee
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Why is Normalization Necessary for Linear Recommenders?
Seongmin Park|Mincheol Yoon|Hye-young Kim|Jongwuk Lee
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Temporal Linear Item-Item Model for Sequential Recommendation.
Seongmin Park|Mincheol Yoon|Minjin Choi|Jongwuk Lee
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2023

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Toward a Better Understanding of Loss Functions for Collaborative Filtering.
Seongmin Park|Mincheol Yoon|Jae-woong Lee|Hogun Park|Jongwuk Lee
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
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uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
Jae-woong Lee|Seongmin Park|Mincheol Yoon|Jongwuk Lee
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023