concept:exposure-bias
Exposure Bias
Exposure Bias in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Recommendation, search & ranking
Clicks are not labels
A click is an exposed, policy-shaped outcome—not a universal relevance label.
Recommendation, search & rankingBM25, factorization, two towers, and ANN
Hybrid retrieval works because lexical, collaborative, and content representations fail in different places.
Recommendation, search & rankingPointwise, pairwise, and listwise ranking
Pointwise learns values, pairwise learns preferences, and listwise learns positions—choose the supervision that matches the slate.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.