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Hybrid recommendation model improved interior design package suggestions
A hybrid machine learning recommendation system for interior design services balances customization with cost constraints, achieving 83.62% accuracy in predicting user preferences.
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Thompson sampling improved exercise recommendations for learner skill gain
Contextual Thompson sampling approach for personalizing exercise sequences in digital learning environments, optimizing skill advancement at scale using bandit-based algorithms.
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MLOps optimizations for high-load recommendation systems
Engineering optimization of MLOps processes for high-load recommendation systems integrating streaming features, parameter servers, and online training for latency and quality under scale.
