Study, design and analysis of IR systems which are efficient and effective to process, mine, search, cluster and classify bigdata document collections, coming from textual as well as any unstructured domain. The lectures analyze the main components of a modern search engine: Crawler, Parser, Compressor, Indexer, Query resolver, Query and Document annotator, Results Ranker. Furthermore, the course digs into some basic algorithmic techniques which are now ubiquitous in any IR application for data compression, indexing and sketching; and describes few other IR tools which are used either as a component of a search engine or as independent tools and build up the previous algorithmic techniques, such as: Classification, Clustering, Recommendation, Random Sampling, Locality Sensitive Hashing. Further information can be found at http://didawiki.di.unipi.it/doku.php/magistraleinformatica/ir/ir18/start

It is part of the Master in Big Data Analytics & Social Mining at the University of Pisa (https://www.masterbigdata.it).

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