Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.
Explores disk storage anatomy, access times, buffer management, and tree-structured indexing techniques like B+ Trees.
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
Explores indexing in database systems, covering storage, files, and efficient data retrieval techniques using various types of indexes.
