| Convolutional Matrix Factorization for Document Context-Aware Recommendation D Kim, C Park, J Oh, S Lee, H Yu Proceedings of the 10th ACM Conference on Recommender Systems (RecSys'16 …, 2016 | 887 | 2016 |
| Unsupervised attributed multiplex network embedding C Park, D Kim, J Han, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5371-5378, 2020 | 215 | 2020 |
| Deep hybrid recommender systems via exploiting document context and statistics of items D Kim, C Park, J Oh, H Yu Information Sciences 417, 72-87, 2017 | 117 | 2017 |
| DSiLOF: Effective and Memory Efficient Local Outlier Detection in Data Streams N Gyeong S., D Kim, H Yu the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2018 | 111* | 2018 |
| Improving top-K recommendation with truster and trustee relationship in user trust network C Park, D Kim, J Oh, H Yu Information Sciences 374, 100-114, 2016 | 61 | 2016 |
| Do Also-Viewed Products Help User Rating Prediction? C Park, D Kim, J Oh, H Yu Proceedings of the 26th International Conference on World Wide Web (WWW'17 …, 2017 | 53 | 2017 |
| Visualizing Uncertainty and Alternatives in Event Sequence Predictions S Guo, F Du, S Malik, E Koh, S Kim, Z Liu, D Kim, H Zha, N Cao The ACM CHI Conference on Human Factors in Computing Systems (CHI'19), 2019 | 52 | 2019 |
| Collaborative Translational Metric Learning C Park, D Kim, X Xie, H Yu 2018 IEEE International Conference on Data Mining (ICDM'18), 2018 | 51 | 2018 |
| Task-Guided Pair Embedding in Heterogeneous Network C Park, D Kim, Q Zhu, J Han, H Yu CIKM 2019, 2019 | 34 | 2019 |
| Unsupervised Differentiable Multi-aspect Network Embedding C Park, C Yang, Q Zhu, D Kim, H Yu, J Han Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 29 | 2020 |
| TRecSo: Enhancing Top-k Recommendation With Social Information C Park, D Kim, J Oh, H Yu Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 18 | 2016 |
| Predicting user purchase in E-commerce by comprehensive feature engineering and decision boundary focused under-sampling C Park, D Kim, J Oh, H Yu Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015 | 17 | 2015 |
| An encoder–decoder switch network for purchase prediction C Park, D Kim, H Yu Knowledge-Based Systems 185, 104932, 2019 | 15 | 2019 |
| Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior D Kim, S Kim, H Zhao, S Li, R Rossi, E Koh 12th ACM International Conference on Web Search and Data Mining (WSDM'19), 2019 | 12 | 2019 |
| Click-aware purchase prediction with push at the top C Park, D Kim, MC Yang, JT Lee, H Yu Information Sciences 521, 350-364, 2020 | 10 | 2020 |
| Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy Y Kim, YH Park, JY Lee, IY Choi, DH Kim, H Yu Proceedings of the ACM Ninth International Workshop on Data and Text Mining …, 2015 | 8 | 2015 |
| Debiasing training data based upon information seeking behaviors D Kim, L Li, Y Ma, Y Wang, R Shen, K Tsioutsiouliklis US Patent App. 17/192,947, 2022 | 2 | 2022 |
| Method and system of personalized blending for content recommendation R Shen, K Tsioutsiouliklis, D Kim, Y Ma, Y Wang US Patent 11,397,786, 2022 | 2 | 2022 |
| Computerized system and method for distilled deep prediction for personalized stream ranking Y Ma, R Shen, Y Wang, D Kim, L Li, K Tsioutsiouliklis US Patent App. 17/236,450, 2022 | 1 | 2022 |
| An Effective, Efficient, and Stable Framework for Query Clustering C Lu, L Li, D Kim, X Wang, R Shen 40th IEEE International Conference on Data Engineering (ICDE 2024), 2024 | | 2024 |
Hwanjo YuPOSTECHBestätigte E-Mail-Adresse bei postech.ac.kr
