Jin Huang

According to our database, Jin Huang authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unbiased Learning to Rank: On Recent Advances and Practical Applications.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic.

Jin Huang, Harrie Oosterhuis, Maarten de Rijke

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.

Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2020

Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems.

Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.

Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen

Data Intell., 2019

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.

Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.

Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.

Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen

Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2016

Learning Distributed Representations for Recommender Systems with a Network Embedding Approach.

Wayne Xin Zhao, Jin Huang, Ji-Rong Wen

Proceedings of the Information Retrieval Technology, 2016