Paper-Conference

Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model

Emerging advancements in large language models (LLMs) show significant potential for enhancing recommendations. However, prompt-based …

Ziyan Wang, Yingpeng Du, Tianjun Wei, Haoyan Chua, Jieyi Bi, Jie Zhang, Zhu Sun

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation

Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu

Dynamic Experts Synergy for Multi-Task Recommendation

Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun

HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation

Kunrong Li, Zhu Sun, Kwan Hui Lim

iTIMO：An LLM-empowered Synthesis Dataset for Travel Itinerary Modification

Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang, Hua Ma, Zhu Sun

Mirroring Users： Towards Building Preference-aligned User Simulator with User Feedback in Recommendation

Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Huang Chen, Dongxia Wang, Jie Zhang, Zhu Sun

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang

ONE-PASS: Single Forward Pass Decoding for Listwise Reranking

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang

Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation

Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew Soon Ong