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Information Retrieval with Open Source
This document discusses various information retrieval strategies and techniques including the vector space model, latent semantic indexing, probabilistic retrieval strategies, language models, inference networks, extended Boolean retrieval, neural networks, and genetic algorithms. It also discusses specific techniques like term frequency-inverse document frequency (tf-idf), cosine similarity measures, inverted indexes, document analysis using analyzers, indexing and storing document fields, constructing queries, and performing searches.
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