Jitao Sang

2025

doi dblp
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems.
Lixi Zhu|Xiaowen Huang|Jitao Sang
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

doi dblp
How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation.
Lixi Zhu|Xiaowen Huang|Jitao Sang
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2022

doi dblp
Learning to Learn a Cold-start Sequential Recommender.
Xiaowen Huang|Jitao Sang|Jian Yu|Changsheng Xu
ACM Transactions on Information Systems (TOIS) 2022 Volume 40 Issue 2

2015

doi dblp
Activity Sensor: Check-In Usage Mining for Local Recommendation.
Jitao Sang|Tao Mei|Changsheng Xu
ACM Transactions on Intelligent Systems and Technology (TIST) 2015 Volume 6 Issue 3
doi dblp
Unified YouTube Video Recommendation via Cross-network Collaboration.
Ming Yan|Jitao Sang|Changsheng Xu
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, Shanghai, China, June 23-26, 2015