Stebėti
Chen Gao
Pavadinimas
Cituota
Cituota
Metai
Multi-behavior Recommendation with Graph Convolutional Networks
B Jin, C Gao, X He, D Jin, Y Li
SIGIR, 2020
2872020
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Y Zheng, C Gao, X Li, X He, D Jin, Y Li
WWW 2021, 2021
2852021
A survey of graph neural networks for recommender systems: Challenges, methods, and directions
C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ...
ACM Transactions on Recommender Systems 1 (1), 1-51, 2023
280*2023
Sequential Recommendation with Graph Neural Networks
J Chang, C Gao, Y Zheng, Y Hui, Y Niu, Y Song, D Jin, Y Li
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
2672021
Neural Multi-Task Recommendation from Multi-Behavior Data
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin
IEEE 35th International Conference on Data Engineering, 2019
1932019
Graph neural networks for recommender system
C Gao, X Wang, X He, Y Li
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
1742022
Cross-domain Recommendation Without Sharing User-relevant Data
C Gao, X Chen, F Feng, K Zhao, X He, Y Li, D Jin
The World Wide Web Conference, 491-502, 2019
1202019
Bundle Recommendation with Graph Convolutional Networks
J Chang, C Gao, X He, D Jin, Y Li
SIGIR, 2020
1022020
DGCN: Diversified Recommendation with Graph Convolutional Networks
Y Zheng, C Gao, L Chen, D Jin, Y Li
WWW 2021, 2021
982021
Learning to recommend with multiple cascading behaviors
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, L Yao, Y Song, D Jin
IEEE transactions on knowledge and data engineering 33 (6), 2588-2601, 2019
882019
S3: Social-network Simulation System with Large Language Model-Empowered Agents
C Gao, X Lan, Z Lu, J Mao, J Piao, H Wang, D Jin, Y Li
arXiv preprint arXiv:2307.14984, 2023
79*2023
Price-aware Recommendation with Graph Convolutional Networks
Y Zheng, C Gao, X He, Y Li, D Jin
IEEE International Conference on Data Engineering (ICDE), 2020
782020
Disentangling Long and Short-Term Interests for Recommendation
Y Zheng, C Gao, J Chang, Y Niu, Y Song, D Jin, Y Li
Proceedings of the ACM Web Conference 2022, 2256-2267, 2022
742022
Learnable Embedding Sizes for Recommender Systems
S Liu, C Gao, Y Chen, D Jin, Y Li
International Conference on Learning Representations (ICLR) 2021, 2021
742021
De-anonymization of mobility trajectories: Dissecting the gaps between theory and practice
H Wang, C Gao, Y Li, G Wang, D Jin, J Sun
The 25th Annual Network & Distributed System Security Symposium (NDSS’18), 2018
592018
Causal inference in recommender systems: A survey and future directions
C Gao, Y Zheng, W Wang, F Feng, X He, Y Li
ACM Transactions on Information Systems 42 (4), 1-32, 2024
542024
DPLCF: Differentially Private Local Collaborative Filtering
C Gao, C Huang, D Lin, D Jin, Y Li
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
502020
CROSS: Cross-platform Recommendation for Social E-Commerce
TH Lin, C Gao, Y Li
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
482019
Privacy-preserving Cross-domain Location Recommendation
C Gao, C Huang, Y Yu, H Wang, Y Li, D Jin
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
462019
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Y Li, C Gao, H Luo, D Jin, Y Li
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
432022
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