Intensive experiments validate DML’s effectiveness throughout datasets like MovieLens and Amazon. DML enhances multi-task fashions reminiscent of PLE and MSSM utilizing CTFM and GKD, reaching important efficiency positive aspects in AUC, MSE, and activity consistency. On-line A/B testing reveals elevated CTR, decreased MSE, and improved person engagement metrics in real-world deployment. Learn Extra
DML Boosts Multi-Process Recommender Efficiency with Enhanced Fashions and Actual-World Positive aspects
