Industry
Feature updates guide: history, examples and current context
Feature updates guide to removals rather than arrivals: the four states from deprecated to gone, why notice is shorter than it looks, and what to inventory.
Section
Industry
Industry
Feed algorithms risks: what to know and why
Feed algorithms risks kept in a register: why attention concentrates by design, how proxy capture happens slowly, and which risks were never yours to fix.
Industry
Recommendation systems examples: what the cases show
Recommendation systems examples in six cases: the old item that moved, the follower who never sees you, and two audiences that quietly cancel each other out.
Industry
Recommendation systems research explained with examples
Recommendation systems research and its five kinds of evidence: the gap between offline and live results, reading a claim, and auditing your own material.
Industry
Viral trends: planning, execution and measurement
Viral trends and the two engines behind them: what can be planned, what depends on timing, and the ratio worth measuring instead of a total reach figure.