Experimentation
Position Bias
Higher-ranked items receive more clicks regardless of relevance.
Why interviewers ask about it
Training on raw clicks makes the model reproduce the existing ranker. Correct with an examination model (position feeds only the propensity term, dropped at serving) or inverse propensity weighting.
Related terms
This term is part of the free AI/ML Engineer interview preparation module - browse the full glossary for every definition.