<ul><li>Cross-domain recommendation (CDR) addresses data sparsity and cold-start challenges in recommendation systems.</li><li>Behavior importance-aware Graph Neural Architecture Search (BiGNAS) is proposed to optimize GNN architecture and data importance for CDR.</li><li>BiGNAS uses a Cross-Domain Customized Supernetwork to search the optimal GNN architecture without retraining.</li><li>The Graph-Based Behavior Importance Perceptron dynamically assesses the importance of source domain behaviors for improved recommendations.</li></ul>

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Discover more