Models for ranking and recommendation

Why recommendation is a funnel of models, and how to size each stage: candidate generation from several sources, two-tower retrieval and its sampling-bias correction, learning to rank, multi-task rankers, when gradient-boosted trees beat deep models, re-ranking for diversity and rules, exploration and cold start.