Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation

no code implementations • 11 Aug 2022 • Yuxiang Shi, Yue Ding, Bo Chen, YuYang Huang, Ruiming Tang, Dong Wang

In this paper, we propose a Task aligned Meta-learning based Augmented Graph (TMAG) to address cold-start recommendation.

Meta-Learning Recommendation Systems

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

no code implementations • 28 Sep 2021 • Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

In this paper, we propose a novel time-aware sequential recommendation framework called Social Temporal Excitation Networks (STEN), which introduces temporal point processes to model the fine-grained impact of friends' behaviors on the user s dynamic interests in an event-level direct paradigm.

Collaborative Filtering Graph Embedding +2