Keqin Bao

2025

doi dblp
Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment.
Xinyu Lin|Keqin Bao|Jizhi Zhang|Yang Zhang|Wenjie Wang|Fuli Feng
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation.
Shihao Cai|Jizhi Zhang|Keqin Bao|Chongming Gao|Qifan Wang|Fuli Feng|Xiangnan He
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Fair Recommendation with Biased-Limited Sensitive Attribute.
Jizhi Zhang|Haoyu Shen|Tianhao Shi|Keqin Bao|Xin Chen|Yang Zhang|Fuli Feng
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

doi dblp
Large Language Models for Recommendation: Past, Present, and Future.
Keqin Bao|Jizhi Zhang|Xinyu Lin|Yang Zhang|Wenjie Wang|Fuli Feng
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Item-side Fairness of Large Language Model-based Recommendation System.
Meng Jiang|Keqin Bao|Jizhi Zhang|Wenjie Wang|Zhengyi Yang|Fuli Feng|Xiangnan He
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi dblp
Large Language Models for Recommendation: Progresses and Future Directions.
Jizhi Zhang|Keqin Bao|Yang Zhang|Wenjie Wang|Fuli Feng|Xiangnan He
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024