Xu Chen 陈 旭
Xu Chen 陈 旭
Assistant Professor (Tenure-Track), Renmin University of China
E-mail confirmado em ruc.edu.cn - Página inicial
Citado por
Citado por
Explainable recommendation: A survey and new perspectives
Y Zhang, X Chen
arXiv preprint arXiv:1804.11192, 2018
Sequential recommendation with user memory networks
X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha
Proceedings of the eleventh ACM international conference on web search and …, 2018
Joint representation learning for top-n recommendation with heterogeneous information sources
Y Zhang, Q Ai, X Chen, WB Croft
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Towards conversational search and recommendation: System ask, user respond
Y Zhang, X Chen, Q Ai, L Yang, WB Croft
Proceedings of the 27th acm international conference on information and …, 2018
Aesthetic-based clothing recommendation
W Yu, H Zhang, X He, X Chen, L Xiong, Z Qin
Proceedings of the 2018 world wide web conference, 649-658, 2018
Learning to rank features for recommendation over multiple categories
X Chen, Z Qin, Y Zhang, T Xu
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
Personalized key frame recommendation
X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
Bridge text and knowledge by learning multi-prototype entity mention embedding
Y Cao, L Huang, H Ji, X Chen, J Li
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Learning a hierarchical embedding model for personalized product search
Q Ai, Y Zhang, K Bi, X Chen, WB Croft
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
Dynamic explainable recommendation based on neural attentive models
X Chen, Y Zhang, Z Qin
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 53-60, 2019
Learning over knowledge-base embeddings for recommendation
Y Zhang, Q Ai, X Chen, P Wang
arXiv preprint arXiv:1803.06540, 2018
Joint representation learning of cross-lingual words and entities via attentive distant supervision
Y Cao, L Hou, J Li, Z Liu, C Li, X Chen, T Dong
arXiv preprint arXiv:1811.10776, 2018
Fast algorithms for pareto optimal group-based skyline
W Yu, Z Qin, J Liu, L Xiong, X Chen, H Zhang
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Hlbpr: A hybrid local bayesian personal ranking method
X Chen, P Wang, Z Qin, Y Zhang
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
Adversarial distillation for efficient recommendation with external knowledge
X Chen, Y Zhang, H Xu, Z Qin, H Zha
ACM Transactions on Information Systems (TOIS) 37 (1), 1-28, 2018
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
Benefits from superposed hawkes processes
H Xu, D Luo, X Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 623-631, 2018
Generate natural language explanations for recommendation
H Chen, X Chen, S Shi, Y Zhang
arXiv preprint arXiv:2101.03392, 2021
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