TAST: Task-Aware Sparse Topology Learning for Multi-Task Recommendation
Multi-task recommendation improves predictive performance by sharing knowledge across related tasks, but existing dense architectures and predefined expert-routing mechanisms do not explicitly adapt fine-grained parameter connectivity to individual tasks, potentially leading to parameter competition, negative transfer,...