ranking
3 free lessons tagged ranking across Business, AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Why one page beats another
Thousands of pages match your query; the engine picks ten and orders them. Learn the four questions ranking answers, why links became a proxy for trust, what PageRank actually measured, how the query itself is interpreted before anything is scored, and why chasing individual ranking factors is the wrong mental model.
What the algorithm optimizes, and why it drifts
A feed does exactly what it was told to maximize, which is rarely what anyone wanted. Learn which signals rankers actually weight and why implicit ones beat likes, how proxy objectives produce clickbait and rage-bait as correct answers to badly posed questions, and the mechanisms platforms use to pull an optimizer back toward what people value.
The two-stage funnel: retrieval then ranking
Every feed has the same impossible job: pick ten items out of millions, in under a tenth of a second. The answer is a funnel. Learn why recommenders split into a cheap retrieval stage and an expensive ranking stage, how two-tower models make retrieval possible, and why nearest-neighbour search is the trick that makes the whole thing fit in a budget.