Recommendation System

Production-ready architecture for scalable recommendation systems with feature stores, multi-tier caching, A/B testing, and comprehensive monitoring.

When to Use This Skill

Load this skill when:

• Building Recommendation APIs: Serving personalized recommendations at scale
• Implementing Caching: Multi-tier caching for sub-millisecond latency
• Running A/B Tests: Experimenting with recommendation algorithms
• Monitoring Quality: Tracking CTR, conversion, diversity, coverage
• Optimizing Performance: Reducing latency, increasing throughput
• Feature Engineering: Managing user/item features with feature stores

Quick Start: Recommendation API in 5 Steps

# 1. Install dependencies
pip install "fastapi>=0.109.0" "redis>=5.0.0" "prometheus-client>=0.19.0"