Implicit feedback data is extensively explored in recommendation as it i...
Data sparsity is an inherent challenge in the recommender systems, where...
Graph Convolutional Network (GCN) is
widely used in graph data learning ...
To enhance the performance of the recommender system, side information i...
Visual information plays a critical role in human decision-making proces...
Skyline, aiming at finding a Pareto optimal subset of points in a
multi-...
Recently, product images have gained increasing attention in clothing
re...