Search Engines — Placement Preparation
Chapters
| Topic | File |
|---|---|
| Elasticsearch | Architecture, queries, aggregations |
| Interview Questions | Search engine interview Qs |
Key Concepts
- Inverted Index: Maps terms to documents (like a book index)
- Tokenization: Splitting text into terms
- Stemming/Lemmatization: Reducing words to root form
- TF-IDF: Term frequency × inverse document frequency
- BM25: Improved TF-IDF used by Elasticsearch/Lucene
- Relevance Scoring: How well a document matches a query