Architect a recommendation system from cold-start to ranking with the right algorithm, metrics, and evaluation in Python.
## CONTEXT Recommendation systems drive engagement and revenue, but most teams over-engineer toward deep models before mastering the fundamentals. In 2026 a layered approach wins: start with popularity and simple collaborative filtering, escalate to matrix factorization or two-tower neural retrieval, and add a…
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