| 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 | 380 | 2018 |
| 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 | 61 | 2019 |
| 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 | 58 | 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 | 55 | 2019 |
| 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 |
| 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 | 7 | 2022 |
| 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 | 1 | 2022 |
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
