GLIMG: Global and Local Item Graphs for Top-N Recommender Systems

Zhuoyi Lin, Lei Feng, Rui Yin +2

Graph-based recommendation models work well for top-N recommender systems due to their capability to capture the potential relationships between entities. However, most of the exis…