Information Retrieval Indexing: Part 1

Related lectures (32)

Page 2 of 4

Covers the basics of information retrieval, including text-based retrieval and indexing techniques.

Introduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.

Covers indexing techniques, distributed retrieval algorithms, and challenges in large-scale web indexing.

Explores the tradeoffs of delete operations in data stores, focusing on logical deletes and introducing the Lethe storage engine.

Explores storage layers, disk management, flash disks, and B+ tree indexing for efficient data retrieval.

Explores tree-structured indexing with a focus on B+ trees in databases.

Covers text retrieval tasks with document ranking and re-ranking, using a large corpus for evaluation.

Explores indexing techniques, inverted files, map-reduce models, and trie usage for efficient information retrieval.

Explains two-phase construction for arrays, hash tables, and search trees in parallel.

Introduces Boolean and Vector Space models for information retrieval, covering syntax, similarity computation, term frequency, and query weights.