Deep Mutual Learning Optimizes Multi-Task Recommender Systems with Cross Task Feature Mining Post date January 23, 2025 Post author By KMeans Post categories In attention-mechanisms, cross-task-feature-mining, deep-mutual-learning, knowledge-transfer, multi-task-learning, recommender-systems, task-embeddings, task-specific-knowledge
DML Boosts Multi-Task Recommender Performance with Enhanced Models and Real-World Gains Post date January 23, 2025 Post author By KMeans Post categories In auc-and-mse-metrics, cross-task-feature-mining, deep-mutual-learning, global-knowledge-distillation, multi-task-models, online-ab-testing, recommender-systems, task-consistency
DML Revolutionizes Multi-Task Learning with Proven Effectiveness and Real-World Deployment Post date January 23, 2025 Post author By KMeans Post categories In ablation-studies, deep-mutual-learning, multi-task-networks, offline-experiments, online-deployment, performance-gains, recommender-systems, task-towers
New Framework for Deep Mutual Learning (DML) to Improve Multi-task Recommender Systems Post date January 23, 2025 Post author By KMeans Post categories In cross-task-feature-mining, deep-mutual-learning, global-knowledge-distillation, knowledge-transfer, multi-task-learning, prediction-consistency, recommender-systems, task-conflicts
Different Approaches For Building Recommender Systems Using Python Post date March 9, 2023 Post author By Abhay Parashar Post categories In artificial-intelligence, machine-learning, nlp, python, recommender-systems
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