recommendation-ml

ML recommendation system development with collaborative filtering (Matrix Factorization), content-based filtering, and hybrid approaches. Use when building recommendation models, implementing Feast feature stores, setting up MLflow model registry, handling cold-start problems for new users/products, implementing diversity with MMR algorithm, or adding exploration with Thompson Sampling/epsilon-greedy bandits.

Key Features

• Comprehensive skill evaluation and performance tracking
• Community-driven ratings and reviews
• Easy integration with Claude Code
• Regular updates and maintenance

Quick Start

TopRank Skills install ilorozco11/recommendation-ml