Tag: Recommender system
Hybrid recommendation model improved interior design service matching
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A hybrid machine learning recommendation system for interior design services balances customization with cost constraints, achieving 83.62% accuracy in predicting user preferences.
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.
MLOps optimizations for high-load recommendation systems
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Engineering optimization of MLOps processes for high-load recommendation systems integrating streaming features, parameter servers, and online training for latency and quality under scale.
