Venkateswara Rao Kagita

GCRA-Rec: a graph convolutional recurrent attention recommender model for dynamic relevance weighting of historical interactions

The graph convolutional recurrent attention recommender (GCRA-Rec) model is proposed, which integrates the collaborative filtering strength of GCNs with sequential learning and introduces a novel sequence encoder that dynamically weights historical interactions according to their relevance to the current recommendation...