Improving the accuracy of top-n recommendation using a preference model J Lee, D Lee, YC Lee, WS Hwang, SW Kim Information Sciences 348, 290-304, 2016 | 103 | 2016 |
Linear, or Non-Linear, That is the Question! T Kong*, T Kim*, J Jeon, J Choi, YC Lee, N Park, SW Kim Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 47 | 2022 |
ASiNE: Adversarial signed network embedding YC Lee, N Seo, K Han, SW Kim Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 40 | 2020 |
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items YC Lee, SW Kim, D Lee Proceedings of the 32rd AAAI Conference on Artificial Intelligence (AAAI), 2018 | 35 | 2018 |
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences YC Lee*, T Kim*, J Choi, X He, SW Kim Information Sciences 547, 255-270, 2021 | 23 | 2021 |
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation T Kim*, YC Lee*, K Shin, SW Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 2022 |
A Survey of Graph Neural Networks for Social Recommender Systems K Sharma*, YC Lee*, S Nambi, A Salian, S Shah, SW Kim, S Kumar ACM Computing Surveys, 2024 | 20 | 2024 |
No, That’s Not My Feedback: TV Show Recommendation Using Watchable Interval KJ Cho*, YC Lee*, K Han, J Choi, SW Kim Proceedings of the 35th IEEE Conference on Data Engineering (ICDE), 316-327, 2019 | 20 | 2019 |
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data YC Lee, J Yeom, K Song, J Ha, K Lee, J Yeo, SW Kim Proceedings of the IEEE Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 20 | 2016 |
Predicting Information Pathways Across Online Communities Y Jin, YC Lee, K Sharma, M Ye, K Sikka, A Divakaran, S Kumar ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023 | 17 | 2023 |
CrowdStart: Warming up cold-start items using crowdsourcing DG Hong*, YC Lee*, J Lee, SW Kim Expert Systems with Applications 138, 112813, 2019 | 16 | 2019 |
Look before you leap: Confirming edge signs in random walk with restart for personalized node ranking in signed networks W Lee*, YC Lee*, D Lee, SW Kim Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 14 | 2021 |
Directed Network Embedding with Virtual Negative Edges H Yoo*, YC Lee*, K Shin, SW Kim Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 13 | 2022 |
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks Y Kang*, W Lee*, YC Lee, K Han, SW Kim 2021 IEEE International Conference on Data Mining (ICDM), 1150-1155, 2021 | 13 | 2021 |
Effective and efficient negative sampling in metric learning based recommendation J Park*, YC Lee*, SW Kim Information Sciences 605, 351-365, 2022 | 11 | 2022 |
AiRS: A Large-Scale Recommender System at NAVER News H Lim*, YC Lee*, JS Lee, S Han, S Kim, Y Jeong, C Kim, J Kim, S Han, ... 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3386-3398, 2022 | 11 | 2022 |
Representation Learning in Continuous-Time Dynamic Signed Networks K Sharma*, M Raghavendra*, YC Lee, A Kumar M, S Kumar Proceedings of the 32nd ACM International Conference on Information …, 2023 | 10* | 2023 |
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks YC Lee*, JH Lee*, D Lee, SW Kim 2022 IEEE International Conference on Data Mining (ICDM), 1035-1040, 2022 | 10 | 2022 |
Job recommendation in AskStory: experiences, methods, and evaluation YC Lee, J Hong, SW Kim Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC), 780-786, 2016 | 10 | 2016 |
Disentangling degree-related biases and interest for out-of-distribution generalized directed network embedding H Yoo, YC Lee, K Shin, SW Kim Proceedings of the ACM Web Conference 2023, 231-239, 2023 | 9 | 2023 |