Paper-Conference

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation

Sequential Recommenders (SRs) are trained to predict the next item as the target given its preceding items as the input, assuming every …

Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu

Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation

“Social recommendations (SRs) aim to enhance preference modeling by integrating social networks. However, their effectiveness is …

Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew-Soon Ong

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

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

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

Adaptive In-Context Learning with Large Language Models for Bundle Generation

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

An Empirical Analysis on Multi-turn Conversational Recommender Systems

Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu

Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models

Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian

Configurable Fairness for New Item Recommendation Considering Entry Time of Items

Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Liu, Jie Zhang

Disentangled Multi-interest Representation Learning for Sequential Recommendation

Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang

Large Language Models for Intent-Driven Session Recommendations

Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation

Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew-Soon Ong