Paper-Conference

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

Importance Prioritized Policy Distillation

Xinghua Qu, Ong Yew Soon, Abhishek Gupta, Pengfei Wei, Zhu Sun

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference

Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current …

Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Ong Yew Soon, Xinghua Qu