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Retrieval, ranking and personalization. The best paid specialism in applied ML.
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22🟡Collaborative Filteringmust-know5 min🟡The Cold Start Problemmust-know4 min🔴Two-Stage: Retrieval then Rankingmust-know5 min🔴Learning to Rank: Point, Pair, Listmust-know5 min🟢Content-Based Filtering4 min🟡Matrix Factorization & ALS5 min🟡NDCG, MRR & Ranking Metrics5 min🟡Diversity, Novelty & Filter Bubbles5 min🟡Query Understanding & Expansion5 min🟡Semantic vs Lexical Search5 min🟡Personalization vs Privacy5 min🔴Two-Tower Retrieval Models5 min🔴Wide & Deep, DeepFM5 min🔴Sequential & Session-Based RecSys5 min🔴Negative Sampling Strategies5 min🔴Position Bias & Debiasing Clicks5 min🔴Feedback Loops in Recommenders5 min🔴Exploration vs Exploitation in Feeds5 min🔴Multi-Objective Ranking5 min🔴ANN Recall vs Latency Tradeoffs5 min🔴CTR Prediction & Calibration5 min🔴Real-Time Features in Ranking5 min