Seuraa
Yingqiang Ge (葛英强)
Yingqiang Ge (葛英强)
Rutgers University
Vahvistettu sähköpostiosoite verkkotunnuksessa rutgers.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Fairness-aware explainable recommendation over knowledge graphs
Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ...
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
1342020
Towards long-term fairness in recommendation
Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ...
Proceedings of the 14th ACM international conference on web search and data …, 2021
1132021
User-oriented fairness in recommendation
Y Li, H Chen, Z Fu, Y Ge, Y Zhang
Proceedings of the Web Conference 2021, 624-632, 2021
972021
Understanding echo chambers in e-commerce recommender systems
Y Ge, S Zhao, H Zhou, C Pei, F Sun, W Ou, Y Zhang
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
942020
Towards personalized fairness based on causal notion
Y Li, H Chen, S Xu, Y Ge, Y Zhang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
612021
CAFE: Coarse-to-fine neural symbolic reasoning for explainable recommendation
Y Xian, Z Fu, H Zhao, Y Ge, X Chen, Q Huang, S Geng, Z Qin, G De Melo, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
592020
Counterfactual explainable recommendation
J Tan, S Xu, Y Ge, Y Li, X Chen, Y Zhang
Proceedings of the 30th ACM International Conference on Information …, 2021
522021
Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)
S Geng, S Liu, Z Fu, Y Ge, Y Zhang
Proceedings of the 16th ACM Conference on Recommender Systems, 299-315, 2022
432022
sharedcharging: Data-driven shared charging for large-scale heterogeneous electric vehicle fleets
G Wang, W Li, J Zhang, Y Ge, Z Fu, F Zhang, Y Wang, D Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
422019
Tutorial on fairness of machine learning in recommender systems
Y Li, Y Ge, Y Zhang
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
352021
Causal collaborative filtering
S Xu, Y Ge, Y Li, Z Fu, X Chen, Y Zhang
arXiv preprint arXiv:2102.01868, 2021
312021
Efficient non-sampling knowledge graph embedding
Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang
Proceedings of the Web Conference 2021, 1727-1736, 2021
212021
ABSent: Cross-lingual sentence representation mapping with bidirectional GANs
Z Fu, Y Xian, S Geng, Y Ge, Y Wang, X Dong, G Wang, G De Melo
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7756-7763, 2020
212020
Fairness in recommendation: A survey
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
arXiv preprint arXiv:2205.13619, 2022
202022
Explainable fairness in recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
192022
Learning and evaluating graph neural network explanations based on counterfactual and factual reasoning
J Tan, S Geng, Z Fu, Y Ge, S Xu, Y Li, Y Zhang
Proceedings of the ACM Web Conference 2022, 1018-1027, 2022
192022
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Y Ge, X Zhao, L Yu, S Paul, D Hu, CC Hsieh, Y Zhang
arXiv preprint arXiv:2201.00140, 2022
192022
Learning personalized risk preferences for recommendation
Y Ge, S Xu, S Liu, Z Fu, F Sun, Y Zhang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
192020
Path language modeling over knowledge graphsfor explainable recommendation
S Geng, Z Fu, J Tan, Y Ge, G De Melo, Y Zhang
Proceedings of the ACM Web Conference 2022, 946-955, 2022
182022
Maximizing marginal utility per dollar for economic recommendation
Y Ge, S Xu, S Liu, S Geng, Z Fu, Y Zhang
The World Wide Web Conference, 2757-2763, 2019
172019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20