Lesson 098 chapters~2 min
Recommendation Systems and Learned Attention
Recommendation systems turn behavior into a continuously updated model of what to show next. Their objective function determines both product performance and product consequences.
Learning outcomes
- Separate social-graph, interest-graph, collaborative, semantic, and content-based signals
- Explain exploration versus exploitation
- Choose objectives beyond raw engagement
Field assignment
For a feed you know, list candidate signals, their probable weights, the optimization target, cold-start strategy, exploration budget, and one quality counter-metric.
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All 8 chapters open with the Basic or Advanced edition.
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