Machine Learning Advanced Pro

Ranking & Recommendation System Architecture

Design the retrieval → ranking → re-ranking funnel that powers feeds, search and recommendations

30 min read 9 views

Learn the multi-stage recommendation architecture: candidate generation with two-tower models and ANN search, pointwise/pairwise/listwise rankers, multi-task value formulas, position debiasing, cold start, re-ranking policy, and how offline metrics relate to online A/B results.

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Practice questions (5)

Sizing the Funnel from a Latency Budget

Intermediate · Free

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In-Batch Negatives and Popularity Bias in Two-Tower Training

Advanced

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Computing NDCG and Diagnosing a Ranking Regression

Advanced

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Cold-Start Design for New Users and New Items

Advanced

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Explaining an Offline Win That Fails Online

Advanced

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Quizzes (1)

Ranking & Recommendation System Architecture Quiz

0 attempts · 10 min · Pass 70% · Advanced

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