Build recommendation systems with collaborative filtering, matrix factorization, hybrid approaches. Use for product recommendations, personalization, or encountering cold start, sparsity, quality evaluation issues.
Builds recommendation systems using collaborative filtering, matrix factorization, and hybrid approaches for personalization.
Why this plugin
Solves cold start, data sparsity, and evaluation challenges in product recommendations, providing structured methods over generic solutions.
Prerequisites
Requires data processing skills and SQL knowledge for implementation; no specific API keys mentioned.
npx claudepluginhub secondsky/claude-skillsComplete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
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