Upgrade to a Graph Neural Network (GNN) and tune your weights. Standard matrix factorization misses complex, multi-hop user-item relationships. Transitioning to a GNN (like LightGCN) will better capture deep structural similarities. Also, ensure your loss function downweights superficial clicks and heavily rewards high-value interactions like purchases or long dwell times.