AppliedAIPrep logoAppliedAI/Prep
← Machine Learning & Data Science / 43
mediumGoogleMetaAmazon

How do you evaluate a ranking or recommendation system (nDCG, MAP, MRR, recall@k)?

Ranking is not classification, so accuracy is the wrong tool. The signal is matching the rank-aware metric to the task: one right answer versus many, binary versus graded relevance. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Ranking is not classification, so accuracy is the wrong tool. The signal is matching the rank-aware metric to the task: one right answer versus many, binary versus graded relevance. Here is the answer.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackCompare activation functions (sigmoid, tanh, ReLU, GELU, softmax) and when to use each.Next in this trackCompare batch, stochastic, and mini-batch gradient descent (and momentum).Next in this trackHow do you choose a loss function (MSE, MAE, Huber, cross-entropy, focal, contrastive)?
DISCUSSION · 0

No comments yet — be the first to share your approach.