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A06 · Recommender Systems and Search

A free, illustrated L3 course of 9 modules in the Applied AI track. Modules include: The recommendation problem and its data; Collaborative filtering; Matrix factorization.

A06 L3 · Advanced 9 modules · about 36 lessons Planned · Ring 3

Part of the Applied AI track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. The recommendation problem and its data
2. Collaborative filtering
3. Matrix factorization
4. Deep and two-tower models
5. Sequential and session-based recommendation
6. Learning to rank
7. Retrieval: sparse, dense and hybrid
8. Exploration, feedback loops and bias
9. Offline and online evaluation

Signature illustrations

The pictures a learner should still see in their head a year later:

A user-item matrix factorizing, two-tower retrieval, the ranking funnel, a feedback loop.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.