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The course introduces modern algorithms and principles used in the field
of information retrieval in large data collections. The students will
gain practical knowledge and experience with experimentation and
evaluation on real data. A special focus is given to web search.
Last update: T_UFAL (13.05.2014)
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Both the course credit and exam are required to complete the course. The course credit will be given after completing two homework assignments. The final grade will be based on the results of the exam and homework. Last update: Pecina Pavel, doc. RNDr., Ph.D. (04.05.2022)
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Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. ISBN 0521865719. Last update: Pecina Pavel, doc. RNDr., Ph.D. (04.05.2022)
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The exam is in a form of a written test with approximately 20 short-answer questions covered by the topics discussed during the course. Last update: Pecina Pavel, doc. RNDr., Ph.D. (04.05.2022)
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Introduction, basic concepts and principles Boolean retrieval Indexing Vector space model Evaluation in information retrieval Query expansion Probabilistic information retrieval Language models for information retrieval Text classification Clustering Web search Near-duplicate detection Last update: Pecina Pavel, doc. RNDr., Ph.D. (04.05.2022)
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