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Information retrieval (IR) is the science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within databases, whether relational stand-alone databases or hypertextually-networked databases such as the World Wide Web. There is a common confusion, however, between data retrieval, document retrieval, information retrieval, and text retrieval, and each of these has its own bodies of literature, theory, praxis and technologies. IR is interdisciplinary, based on computer science, mathematics, library science, information science, information architecture, cognitive psychology, linguistics, statistics and physics.
Web search engines such as Google, Yahoo search and Live Search (formerly MSN Search) are the most visible IR applications (more).

Quoted form TREC

Brief outline of the course:

  • Retrieval Models such as Boolean, Extended Boolean, Probabilistic approaches, NGRAM, language modeling and so on
  • Scoring, term weighting & the vector space model
  • Query processing, Relevance feedback & query expansion
  • Retrieval evaluation techniques
  • latent semantic indexing
  • Knowledge Based IR
  • Parallel and Distributed IR
  • User Interfaces and Visualization (Form Reference No.3)
  • Search engines architecture

Contact Info: If you have any question, feel free to contact us
Email: foroumchianATSignacm.org, a.aleahmadATSignece.ut.ac.ir, h.amiriATSignece.ut.ac.ir
Tel: +982188338507 (DBRG Lab.)

TAs: Abolfazl AleAhmad & Hadi Amiri

Lecture: Saturdays 17-20, Central Building, Shora room

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