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 | 532 | 2018 |
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 | 92 | 2020 |
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 | 92 | 2019 |
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 | 88 | 2019 |
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 | 30 | 2022 |
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 | 23 | 2016 |
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 | 14 | 2022 |
Unbiased Learning to Rank: On Recent Advances and Practical Applications S Gupta, P Hager, J Huang, A Vardasbi, H Oosterhuis Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 3 | 2024 |
Recent advances in the foundations and applications of unbiased learning to rank S Gupta, P Hager, J Huang, A Vardasbi, H Oosterhuis Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
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 | 1 | 2023 |
Repetition and Exploration in Offline Reinforcement Learning-based Recommendations M Li, J Huang, M de Rijke 4th Workshop on Deep Reinforcement Learning for Information Retrieval at CIKM, 2023 | 1 | 2023 |
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems J Huang, H Oosterhuis, M Mansoury, H van Hoof, M de Rijke arXiv preprint arXiv:2404.18640, 2024 | | 2024 |
Learning Recommender Systems from Biased User Interactions J Huang University of Amsterdam, 2024 | | 2024 |