Article-Journal

A User Trajectory Simulation Framework for Next POI Recommendation with Uncertain Check-Ins

Chen Li, Guoyan Huang, Shanshan Feng, Zhu Sun

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation

Jiajie Zhu, Yan Wang, Feng Zhu, Pengfei Ding, Hongyang Liu, Zhu Sun

Context-Adaptive Graph Neural Networks for Next POI Recommendation

Yu Lei, Limin Shen, Zhu Sun, Tiantian He

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?

Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu

Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation

Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation

‘In recent years, dual-target Cross-Domain Recommendation (CDR) has been proposed to capture comprehensive user preferences in …

Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun

COSTA: Contrastive Spatial and Temporal Debiasing Framework for Next POI Recommendation

Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Shanshan Feng, Guanfeng Liu

Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?

‘Recommender systems (RSs) are designed to provide personalized recommendations to users. Recently, knowledge graphs (KGs) have …

Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Lian, Wenhai Wang

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons

In the evolutionary computing community, the remarkable language-handling capabilities and reasoning power of large language models …

Jiao Liu, Zhu Sun*, Shanshan Feng, Caishun Chen, Yew Soon Ong