| Semi-supervised learning for cross-domain recommendation to cold-start users SK Kang, J Hwang, D Lee, H Yu Proceedings of the 28th ACM international conference on information and …, 2019 | 216 | 2019 |
| Bootstrapping User and Item Representations for One-Class Collaborative Filtering D Lee, SK Kang, H Ju, C Park, H Yu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 124 | 2021 |
| DE-RRD: A Knowledge Distillation Framework for Recommender System SK Kang, J Hwang, W Kweon, H Yu Proceedings of the 29th ACM International Conference on Information …, 2020 | 94 | 2020 |
| Bidirectional distillation for top-K recommender system W Kweon, SK Kang, H Yu Proceedings of the Web Conference 2021, 3861-3871, 2021 | 55 | 2021 |
| Topology Distillation for Recommender System SK Kang, J Hwang, W Kweon, H Yu Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 46 | 2021 |
| Learning heterogeneous temporal patterns of user preference for timely recommendation J Cho, D Hyun, SK Kang, H Yu Proceedings of the Web Conference 2021, 1274-1283, 2021 | 35 | 2021 |
| Taxocom: Topic taxonomy completion with hierarchical discovery of novel topic clusters D Lee, J Shen, SK Kang, S Yoon, J Han, H Yu Proceedings of the ACM Web Conference 2022, 2819-2829, 2022 | 29 | 2022 |
| Unsupervised proxy selection for session-based recommender systems J Cho, SK Kang, D Hyun, H Yu Proceedings of the 44th International ACM SIGIR Conference on research and …, 2021 | 25 | 2021 |
| Personalized knowledge distillation for recommender system SK Kang, D Lee, W Kweon, H Yu Knowledge-Based Systems 239, 107958, 2022 | 24 | 2022 |
| Obtaining calibrated probabilities with personalized ranking models W Kweon, SK Kang, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4083-4091, 2022 | 16 | 2022 |
| Item-side ranking regularized distillation for recommender system SK Kang, J Hwang, W Kweon, H Yu Information Sciences 580, 15-34, 2021 | 16 | 2021 |
| Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SK Kang, D Lee, W Kweon, J Hwang, H Yu Proceedings of the ACM Web Conference 2022, 1965-1976, 2022 | 14 | 2022 |
| Multi-modal component embedding for fake news detection SK Kang, J Hwang, H Yu 2020 14th International Conference on Ubiquitous Information Management and …, 2020 | 14 | 2020 |
| Learning topology-specific experts for molecular property prediction S Kim, D Lee, SK Kang, S Lee, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8291-8299, 2023 | 13 | 2023 |
| Distillation from heterogeneous models for top-k recommendation SK Kang, W Kweon, D Lee, J Lian, X Xie, H Yu Proceedings of the ACM Web Conference 2023, 801-811, 2023 | 13 | 2023 |
| MvFS: Multi-view Feature Selection for Recommender System Y Lee, Y Jeong, K Park, SK Kang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8 | 2023 |
| Deep Rating Elicitation for New Users in Collaborative Filtering W Kweon, S Kang, J Hwang, H Yu WWW'20: Proceedings of The Web Conference 2020, 2020 | 8 | 2020 |
| Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy SK Kang, S Agarwal, B Jin, D Lee, H Yu, J Han Proceedings of the ACM on Web Conference 2024, 1497-1508, 2024 | 5 | 2024 |
| Top-Personalized-K Recommendation W Kweon, SK Kang, S Jang, H Yu Proceedings of the ACM on Web Conference 2024, 3388-3399, 2024 | 5 | 2024 |
| Multi-Domain Recommendation to Attract Users via Domain Preference Modeling H Ju, SK Kang, D Lee, J Hwang, S Jang, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8582-8590, 2024 | 5 | 2024 |
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