Unify Local and Global Information for Top-$N$ Recommendation

1 code implementation • 3 Dec 2020 • Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen

To tackle this research gap, we propose a novel duet representation learning framework named \sysname to fuse local information (user-item interaction data) and global information (external knowledge graph) for the top-$N$ recommendation, which is composed of two separate sub-models.

Knowledge Graph Embedding Recommendation Systems +1