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Yeon-Chang Lee
Yeon-Chang Lee
Assistant Professor, UNIST
Verifierad e-postadress på unist.ac.kr - Startsida
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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
1032016
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
412022
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
372020
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
342018
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
232021
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
202016
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
192022
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
182019
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
162023
CrowdStart: Warming up cold-start items using crowdsourcing
DG Hong*, YC Lee*, J Lee, SW Kim
Expert Systems with Applications 138, 112813, 2019
162019
A Survey of Graph Neural Networks for Social Recommender Systems
K Sharma*, YC Lee*, S Nambi, A Salian, S Shah, SW Kim, S Kumar
arXiv preprint arXiv:2212.04481, 2022
152022
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
142021
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
122022
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
122021
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
102022
Effective and efficient negative sampling in metric learning based recommendation
J Park*, YC Lee*, SW Kim
Information Sciences 605, 351-365, 2022
102022
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
102016
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
92022
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
8*2023
Is It Enough Just Looking at the Title? Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation
T Kim*, Y Kim*, YC Lee, WY Shin, SW Kim
Proceedings of the 31st ACM International Conference on Information …, 2022
82022
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Artiklar 1–20