Apply the Recommendation Systems curriculum to a checked project.
Project brief
Required concepts
- Recommendation objective and interaction log: define what success means
- Candidate retrieval: separate broad discovery from hard eligibility
- Implicit feedback: distinguish preference from what the system exposed
- Content and collaborative signals: give sparse learners a real fallback
- Ranking and re-ranking: balance relevance with coverage and curriculum rules
- Offline recommendation evaluation: replay catalog and learner state in time
Completion standard
Submit runnable work, a data manifest, measured results and failure-case evidence.