Tag: recommendation systems
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Integrating Graph Embeddings in Event Sequence Models
Boost event sequence model accuracy by integrating graph-based embeddings for improved fraud detection and recommendations in digital platforms.
Unbiased Fix for Fake Orders in Sequential Recommenders
Discover DITaR, a method to rectify fake orders in sequential recommender systems, boosting accuracy, efficiency, and robustness without retraining.
TREASURE: Visa’s Model for High-Volume Transaction Analysis
Discover TREASURE, Visa’s transformer-based model enhancing transaction analysis, fraud detection, and personalized recommendations in payment networks.
EviSnap: Transparent Cold-Start Cross-Domain Recommendations
EviSnap offers evidence-based, transparent explanations for cold-start cross-domain recommendations, improving accuracy and user trust in AI systems.
User-Aware Generative Learning for Multi-Modal Recommendations
Discover GTC, a user-aware generative framework that enhances multi-modal recommendations by filtering personalized content features and capturing cross-mo...