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AI Recommendation Systems: From Embeddings to Production

Recommendation systems power personalization across e-commerce, media, and SaaS. Modern AI approaches combine embedding-based similarity, collaborative filtering, and LLM-driven reasoning to deliver relevant suggestions at scale.

The Evolution of Recommendations

Traditional recommender systems fell into two camps: collaborative filtering (user-item interactions) and content-based filtering (item attributes).…