Cross-domain recommendation is an important method to improve recommende...
Existing benchmark datasets for recommender systems (RS) either are crea...
Learning big models and then transfer has become the de facto practice i...
Graph Neural Networks (GNNs) have received increasing attention for
repr...
Cross-domain recommendation can help alleviate the data sparsity issue i...
We consider sparse representations of signals from redundant dictionarie...