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Lecture
Information retrieval: vector space
Description
This lecture covers the basics of information retrieval, focusing on vector space models. Topics include similarity computation, cosine similarity, term frequencies, inverted files, and Fagin's algorithm. Practical exercises involve implementing relevance feedback and parallel scanning of posting lists.
Official source
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