Strategy Management and Optimization: Build an intelligent system to achieve standardized definition of recommendation strategies, long‑term and offline evaluation, automatic identification and retirement of ineffective strategies, and removal of related code configurations.
Adaptive Tuning and Fault Diagnosis: Leverage large model capabilities to optimize parameters and configurations of systems and underlying components for diverse business loads in recommendation systems. Explore adaptive fault diagnosis solutions to provide a global perspective for fault tracking, localization, and analysis.
Cost‑Efficiency Balance: Address the high costs of model training and operation when applying generative technologies to recommendation systems, balancing costs and efficiency to achieve effective recommendation within limited resources.
Cross‑Domain Data P...
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