Paper-Conference

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins

“Studies on next point-of-interest (POI) recommendation mainly seek to learn users’ transition patterns with certain …

Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison

Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang

Modelling Temporal Dynamics and Repeated Behaviors for Recommendation

Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu

Exploiting Side Information for Recommendation

Qing Guo, Zhu Sun, Yin Leng Theng

Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks

Qing Guo, Zhu Sun, Jie Zhang, Yin Leng Theng

Recurrent Knowledge Graph Embedding for Effective Recommendation

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Longkai Huang, Chi Xu

A Unified Latent Factor Model for Effective Category-Aware Recommendation

Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu

Aspect-Aware Point-of-Interest Recommendation with Geo-Social Influence

Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng

Exploiting both Vertical and Horizontal Dimensions of Feature hierarchy for Effective Recommendation

Feature hierarchy (FH) has proven to be effective to improve recommendation accuracy. Prior work mainly focuses on the influence of …

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon

Interactive Attention-Gated Recurrent Networks for Recommendation

Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David Tax