引用次数
引用: 515
H-指数: 13
I10-指数 : 19
出版物: 36
Recommendation of research papers in DBpia: A Hybrid approach exploiting content and collaborative data
Yeon-Chang Lee , Jungwan Yeom , Kiburm Song , Jiwoon Ha
systems, man and cybernetics 2966 -2971
7
2016
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation
Taeri Kim* , Yeon-Chang Lee* , Kijung Shin , Sang-Wook Kim
993 -1002
22
2022
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks
Min-Jeong Kim* , Yeon-Chang Lee* , Sang-Wook Kim
2451 -2455
4
2023
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
Min-Jeong Kim* , Yeon-Chang Lee* , David Y Kang , Sang-Wook Kim
arXiv preprint arXiv:2309.00816
2023
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks
Sang-Wook Kim , Dongwon Lee , Yeon-Chang Lee , Won Chang Lee
international acm sigir conference on research and development in information retrieval
2021
ASiNE: Adversarial Signed Network Embedding
Yeon-Chang Lee , Nayoun Seo , Kyungsik Han , Sang-Wook Kim
international acm sigir conference on research and development in information retrieval 609 -618
4
2020
CrowdStart: Warming up cold-start items using crowdsourcing
Dong-Gyun Hong , Yeon-Chang Lee , Jongwuk Lee , Sang-Wook Kim
Expert Systems with Applications 138 112813
6
2019
No, That's Not My Feedback: TV Show Recommendation Using Watchable Interval
Kyung-Jae Cho , Yeon-Chang Lee , Kyungsik Han , Jaeho Choi
2019 IEEE 35th International Conference on Data Engineering (ICDE) 316 -327
5
2019
Improving the accuracy of top-N recommendation using a preference model
Jongwuk Lee , Dongwon Lee , Yeon-Chang Lee , Won-Seok Hwang
Information Sciences 348 290 -304
59
2016
Graph-Theoretic One-Class Collaborative Filtering using Signed Random Walk with Restart
Yeon-Chang Lee , Daeyoung Park , Jiwon Son , Taeho Kim
international conference on big data and smart computing 98 -101
1
2020
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results
Yeon-Chang Lee , Nayoun Seo , Sang-Wook Kim
conference on information and knowledge management 2113 -2116
2020
Job recommendation in AskStory: experiences, methods, and evaluation
Yeon-Chang Lee , Jiwon Hong , Sang-Wook Kim
acm symposium on applied computing 780 -786
4
2016
Exploiting uninteresting items for effective graph-based one-class collaborative filtering
Yeon-Chang Lee , Jiwon Son , Taeho Kim , Daeyoung Park
The Journal of Supercomputing 1 -20
4
2021
On Recommending Job Openings
Yeon-Chang Lee , Jiwon Hong , Sang-Wook Kim , Sheng Gao
acm conference on hypertext 331 -332
4
2015
Exploiting job transition patterns for effective job recommendation
Yujin Lee , Yeon-Chang Lee , Jiwon Hong , Sang-Wook Kim
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2414 -2419
2017
M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences
Yeon-Chang Lee , Taeho Kim , Jaeho Choi , Xiangnan He
Information Sciences 547 255 -270
2021
THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks
Yeon-Chang Lee , JaeHyun Lee , Dongwon Lee , Sang-Wook Kim
Smpte Journal 1035 -1040
2022
Directed network embedding with virtual negative edges
Hyunsik Yoo , Yeon-Chang Lee , Kijung Shin , Sang-Wook Kim
Smpte Journal 1291 -1299
3
2022
Is It Enough Just Looking at the Title? Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation
Taeho Kim , Yungi Kim , Yeon-Chang Lee , Won-Yong Shin
Smpte Journal 4138 -4142
2022
Linear, or non-linear, that is the question!
Taeyong Kong , Taeri Kim , Jinsung Jeon , Jeongwhan Choi
Smpte Journal 517 -525
10
2022