受强制性开放获取政策约束的文章 - Xu Chen 陈 旭了解详情
已要求撤换的文章：2 篇
A novel macro-micro fusion network for user representation learning on mobile apps
S Bian, WX Zhao, K Zhou, X Chen, J Cai, Y He, X Luo, JR Wen
Proceedings of the Web Conference 2021, 3199-3209, 2021
强制性开放获取政策： 国家自然科学基金委员会
负责上传的作者： S Bian
Exploiting review embedding and user attention for item recommendation
Y Sun, G Guo, X Chen, P Zhang, X Wang
Knowledge and Information Systems 62, 3015-3038, 2020
强制性开放获取政策： 国家自然科学基金委员会
负责上传的作者： Y Sun
可在其他位置公开访问的文章：49 篇
Explainable recommendation: A survey and new perspectives
Y Zhang, X Chen
Foundations and Trends® in Information Retrieval 14 (1), 1-101, 2020
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms
WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： National Research Foundation, Singapore
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
Counterfactual data-augmented sequential recommendation
Z Wang, J Zhang, H Xu, X Chen, Y Zhang, WX Zhao, JR Wen
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Bridge text and knowledge by learning multi-prototype entity mention embedding
Y Cao, L Huang, H Ji, X Chen, J Li
Association for Computational Linguistics, 2017
强制性开放获取政策： US Department of Defense, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
WX Zhao, Y Hou, X Pan, C Yang, Z Zhang, Z Lin, J Zhang, S Bian, J Tang, ...
arXiv preprint arXiv:2206.07351, 2022
强制性开放获取政策： 国家自然科学基金委员会
Learning correlated communication topology in multi-agent reinforcement learning
Y Du, B Liu, V Moens, Z Liu, Z Ren, J Wang, X Chen, H Zhang
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
强制性开放获取政策： 中国科学院
Top-n recommendation with counterfactual user preference simulation
M Yang, Q Dai, Z Dong, X Chen, X He, J Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Causal collaborative filtering
S Xu, Y Ge, Y Li, Z Fu, X Chen, Y Zhang
Proceedings of the 2023 ACM SIGIR International Conference on Theory of …, 2023
强制性开放获取政策： US National Science Foundation
Unbiased sequential recommendation with latent confounders
Z Wang, S Shen, Z Wang, B Chen, X Chen, JR Wen
Proceedings of the ACM Web Conference 2022, 2195-2204, 2022
强制性开放获取政策： 国家自然科学基金委员会
Learning to match jobs with resumes from sparse interaction data using multi-view co-teaching network
S Bian, X Chen, WX Zhao, K Zhou, Y Hou, Y Song, T Zhang, JR Wen
Proceedings of the 29th ACM International Conference on Information …, 2020
强制性开放获取政策： 国家自然科学基金委员会
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