[HIDDEN]
Search Indexing and Retrieval
Index construction, retrieval models, hybrid search, and crawl-to-index system design.
Not published
Search Ranking And Recommendation
CLASSIFICATION
12 tracks / 362 lessons
TRACKS
[HIDDEN]
Ranking, Evaluation, and Search Quality
Learning to rank, experimentation, evaluation pipelines, and search quality governance.
Not published
[HIDDEN]
Web-Scale Data Mining and Recommendation
Approximation, large-scale analytics, graph mining, clustering, and recommender architectures.
Not published
[DRAFT]
Knowledge Graphs and Entity Resolution
Entity linking, graph modeling, canonicalization, and the data structures used to connect knowledge across noisy sources.
Not published
[DRAFT]
Large-Scale Data Mining
Approximation, sketching, graph mining, clustering, and large-scale analytical pipelines without the recommendation stack mixed in.
Not published
[DRAFT]
Ads, Auctions, and Marketplace Ranking
Auction design, bidding signals, marketplace objectives, and the ranking trade-offs unique to monetized retrieval systems.
Not published
[DRAFT]
Query Understanding and Semantic Retrieval
Intent parsing, reformulation, semantic matching, and the retrieval improvements that start from better representations of user needs.
Not published
[DRAFT]
Experimentation and Online Learning for Ranking
Interleaving, A/B testing, bandits, feedback loops, and the online methods used to improve ranking systems safely.
Not published
[DRAFT]
Recommendation and Personalization Systems
Candidate generation, ranking stacks, feedback loops, experimentation, and product-serving architectures for personalization systems.
Not published
[DRAFT]
Retrieval and Ranking Foundations
Indexing basics, ranking intuition, query-document matching, and the introductory mental models behind search and recommendation quality.
Not published
[DRAFT]
Vector Search and Embedding Systems
Draft track for embeddings, ANN indexes, hybrid retrieval, vector databases, and retrieval serving trade-offs.
Not published
[DRAFT]
Search Engine Serving and Operations
Production search serving: schemas, analyzers, shards, query execution, aggregations, relevance tuning, hybrid search, indexing pipelines, cluster operations, and incidents.
Not published