Topic: behavioral signals

Zoe Weil discusses how recommendation and ranking systems can use in-session behavioral signals to model intent and optimize purchasing outcomes. The episode examines event-to-feature models, low-latency ranking infrastructure, evaluation against business outcomes, and the distinction between click relevance and useful recommendations. It also considers privacy tradeoffs in personalization and the relationship between advertising and organic revenue.