| Collaborative distillation for top-N recommendation J Lee, M Choi, J Lee, H Shim 2019 IEEE International Conference on Data Mining (ICDM), 369-378, 2019 | 52 | 2019 |
| Dual unbiased recommender learning for implicit feedback J Lee, S Park, J Lee Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 30 | 2021 |
| Idae: Imputation-boosted denoising autoencoder for collaborative filtering J Lee, J Lee Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 7 | 2017 |
| Bilateral Self-unbiased Learning from Biased Implicit Feedback J Lee, S Park, J Lee, J Lee Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 6 | 2022 |
| uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering J Lee, S Park, M Yoon, J Lee Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision J Lee, YI Song, D Haam, S Lee, W Choi, J Lee Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |
| Toward a Better Understanding of Loss Functions for Collaborative Filtering S Park, M Yoon, J Lee, H Park, J Lee Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation J Lee, M Choi, L Sael, H Shim, J Lee Knowledge and Information Systems 64 (5), 1323-1348, 2022 | | 2022 |
| 항목 인기도 편향 관점에서의 잡음제거 오토인코더의 효과 김진홍， 이재웅， 이종욱 정보과학회논문지 48 (5), 575-583, 2021 | | 2021 |
| 상위 N 개 항목의 추천 정확도 향상을 위한 효과적인 선호도 표현방법 이재웅， 이종욱 정보과학회논문지 44 (6), 621-627, 2017 | | 2017 |
| An Effective Preference Model to Improve Top-N Recommendation J Lee, J Lee Journal of KIISE 44 (6), 621-627, 2017 | | 2017 |
| 추천시스템 전문 기업 프로그램스 (Frograms) 이재웅， 이종욱 정보과학회지 34 (6), 40-41, 2016 | | 2016 |
Jongwuk LeeSungkyunkwan University, KoreaVerified email at skku.edu
