Publications

Yuyue Zhao, Jin Huang, David Vos, Maarten de Rijke (2024). Revisiting Language Models in Neural News Recommender Systems. In ECIR.

Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke (2024). Going beyond popularity and positivity bias: Correcting for multifactorial bias in recommender systems. In SIGIR.

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Ming Li, Jin Huang, Maarten de Rijke (2023). Repetition and Exploration in Offline Reinforcement Learning-based Recommendations. In DRL4IR@CIKM workshop.

Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke (2022). State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. In SIGIR.

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Jin Huang, Harrie Oosterhuis, Maarten de Rijke (2022). It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic. In WSDM.

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Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof (2020). Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. In RecSys.

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Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen (2019). KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems. In Data Intelligence.

Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong (2019). Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. In WSDM.

Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang (2018). Improving sequential recommendation with knowledge-enhanced memory networks. In SIGIR.

Wayne Xin Zhao, Jin Huang, Ji-Rong Wen (2016). Learning Distributed Representations for Recommender Systems with a Network Embedding Approach. In Asia Information Retrieval Symposium (AIRS).