How to build production-ready Recommender Systems

An introduction to building production-ready recommender systems based on a 4-stage design: retrieval, filtering, scoring, and ordering. The post emphasizes the importance of each stage and provides insights into the use of embedding models, feature engineering, and applying business logic to refine recommendations. A practical design exercise for a music recommender system is included for hands-on learning.