The paper introduces Progressive Layered Extraction (PLE), a novel Multi-Task Learning (MTL) model, aimed at overcoming the challenges in recommender systems, particularly the seesaw phenomenon and negative transfer. Traditional MTL models often struggle with performance degradation due to complex task correlations within real-world recommender systems. …