OneRank Integrates Multi-Task Prediction Directly Into Transformer Attention for Recommendation

OneRank unifies feature encoding and multi-task prediction within a single Transformer by making task objectives visible during attention computation, eliminating the information bottleneck created when a task-agnostic encoder feeds static feed-forward task heads. The architecture targets the seesaw phenomenon and gradient interference common in industrial multi-task recommender systems.