Paper-Conference

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

Unified Denoising Training for Recommendation

Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation

Shanshan Feng, Haoming Lyu, Fan Li, Zhu Sun, Caishun Chen

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation

Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Yew-Soon Ong

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction

Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew-Soon Ong

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation

Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun

Meta-Learning Enhance Next POI Recommendation with Auxiliary Cities

Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong

Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

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

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects

Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew-Soon Ong, Lu Lu, Zejun Ma