Artificial intelligence techniques for large scale ranking

This invention describes a sophisticated computer program designed to rank content or recommendations for users on social or professional networking sites. It works by taking various user and content data, processing it through a specialized deep learning model called a residual Deep and Cross Network (DCN). This DCN uses specific layers to identify complex relationships in the data, either by focusing on important data points (attention mechanisms) or by simplifying calculations using mathematical shortcuts (low-rank matrices), to efficiently determine what content a user is most likely to engage with. The claims specifically focus on this particular DCN architecture.