Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.
Introduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.
Introduces the basics of information retrieval, covering text-based retrieval, document features, similarity functions, and the difference between Boolean and ranked retrieval.
Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
