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Jin Huang
Jin Huang
PhD student, University of Amsterdam
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
Improving sequential recommendation with knowledge-enhanced memory networks
J Huang, WX Zhao, H Dou, JR Wen, EY Chang
The 41st international ACM SIGIR conference on research & development in …, 2018
4682018
Keeping dataset biases out of the simulation: A debiased simulator for reinforcement learning based recommender systems
J Huang, H Oosterhuis, M De Rijke, H Van Hoof
Proceedings of the 14th ACM Conference on Recommender Systems, 190-199, 2020
782020
Kb4rec: A data set for linking knowledge bases with recommender systems
WX Zhao, G He, K Yang, H Dou, J Huang, S Ouyang, JR Wen
Data Intelligence 1 (2), 121-136, 2019
712019
Taxonomy-aware multi-hop reasoning networks for sequential recommendation
J Huang, Z Ren, WX Zhao, G He, JR Wen, D Dong
Proceedings of the twelfth ACM international conference on web search and …, 2019
692019
Learning distributed representations for recommender systems with a network embedding approach
WX Zhao, J Huang, JR Wen
Information Retrieval Technology: 12th Asia Information Retrieval Societies …, 2016
242016
It is different when items are older: Debiasing recommendations when selection bias and user preferences are dynamic
J Huang, H Oosterhuis, M de Rijke
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
212022
State encoders in reinforcement learning for recommendation: A reproducibility study
J Huang, H Oosterhuis, B Cetinkaya, T Rood, M de Rijke
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
82022
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval
X Xin, X Zhao, J Huang, W Zhang, L Zhao, D Yin, GH Yang
Proceedings of the 32nd ACM International Conference on Information and …, 2023
2023
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
S Gupta, P Hager, J Huang, A Vardasbi, H Oosterhuis
arXiv preprint arXiv:2305.02914, 2023
2023
Repetition and Exploration in Offline Reinforcement Learning-based Recommendations
M Li, J Huang, M de Rijke
2023
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Articles 1–10