Search Relevance Ranking

The chapters in this module, in reading order.

#	Chapter
00	Search & Information Retrieval — The Five-Year-Old Version
01	Keyword Search Failure — Exact words, exact trouble
02	Inverted Index — The sorting bins that make search fast
03	TF-IDF Scoring — Rare words earn louder postmarks
04	BM25 — The scoring function search teams actually ship
05	Query Understanding — Clean the address label before you search
06	Dense Retrieval — Put queries and documents into vector space
07	Sparse vs. Dense Retrieval — Two tools, two failure patterns
08	Hybrid Search and Fusion — Merge sparse and dense without lying to yourself
09	Learning to Rank — Train the delivery route instead of hand-writing it
10	Cross-Encoder Reranking — The express lane specialist for hard cases
11	Evaluation Metrics for IR — Measure whether the delivery route is actually good
12	Search Relevance Tuning — The practical knobs that move the delivery route
13	Honest Admission — What search and IR still do not fully solve