Synonyms
Document retrieval; Text retrieval
Definition
Information retrieval (IR) deals with the construction of automatic systems that allow users to inquire about textual data of any kind through natural language queries. The retrieved information from IR systems may vary from a ranked list of relevant textual items of any kind, such as full documents or their excerpts, or can be distilled into more elaborated forms, such as document summaries or answers to questions. Information retrieval is an empirical science that studies representation, storage, and access to information and covers a large number of interdisciplinary topics of theoretical computer science including information theory, machine learning, coding theory, probability theory, programming theory, computational semantics, natural language processing, logics, and algebra. From a practical perspective, research on IR includes data representation; storage and retrieval, such as indexing, data encoding, and text...
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Recommended Reading
Annual international SIGIR conference, Proceedings of the ACM Special Interest Group on Information Retrieval Conference. http://www.sigir.org/
Chakrabarti S. Mining the Web: discovering knowledge from hypertext data. Amsterdam: Morgan-Kauffman; 2002.
Cleverdon C. The cranfield test on index language devices. ASLIB Proc. 1967;19(6):173–92.
Jardine N, van Rijsbergen CJ. The use of hierarchic clustering in information retrieval. Inf Storage Retr. 1971;7(5):217–40.
Luhn H. A statistical approach to mechanized encoding and searching of literary information. IBM J Res Dev. 1957;1(4):309–17.
Mandelbrot B. An informational theory of the statistical structure of language. In: Jackson W, editor. Communication theory, the second London symposium. Butterworth: London; 1953. p. 486–504.
Maron M.E. and Kuhns J.L. On relevance, probabilistic indexing and information retrieval. J ACM. 1960;7(3):216–44. http://doi.acm.org/10.1145/321033.321035.
Robertson SE, Sparck-Jones K. Relevance weighting of search terms. J Am Soc Inf Sci. 1976;27(3):129–46.
Salton G, Lesk ME. The SMART automatic document retrieval systems – an illustration. Commun ACM. 1965;8(6):391–8.
Shannon C. A mathematical theory of communication. Bell Syst Tech J. 1948;27(3):379–423 and 623–656.
Sparck JK. A statistical interpretation of term specificity and its application in retrieval. J Doc. 1972;28(1):11–21.
Van Rijsbergen C. Information retrieval. 2nd ed. London: Butterworths; 1979.
Witten IH, Moffat A, Bell TC. Managing gigabytes. 2nd ed. San Francisco: Morgan Kaufmann; 1999.
Zipf G. Human behavior and the principle of least effort. Reading: Addison-Wesley; 1949.
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Amati, G. (2018). Information Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_915
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DOI: https://doi.org/10.1007/978-1-4614-8265-9_915
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