Lantao Hu

According to our database, Lantao Hu authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.

Wenhui Yu, Chao Feng, Yanze Zhang, Lantao Hu, Peng Jiang, Han Li

CoRR, 2024

Modeling User Retention through Generative Flow Networks.

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

CoRR, 2024

A Model-based Multi-Agent Personalized Short-Video Recommender System.

Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang

CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm.

Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie

CoRR, 2024

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples.

Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

M³oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Modeling User Fatigue for Sequential Recommendation.

Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Industrial Recommender System - Principles, Technologies and Enterprise Applications

Lantao Hu, Yueting Li, Guangfan Cui, Kexin Yi

Springer, ISBN: 978-981-97-2580-9, 2024

2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun

CoRR, 2023

2014

Content-Boosted Restricted Boltzmann Machine for Recommendation.

Yongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Context-Aware Recommendation of Learning Resources Using Rules Engine.

Lantao Hu, Zhao Du, Qiuli Tong, Yongqi Liu

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013