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Information retrieval is the science [1] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a ...
The information retrieval community has emphasized the use of test collections and benchmark tasks to measure topical relevance, starting with the Cranfield Experiments of the early 1960s and culminating in the TREC evaluations that continue to this day as the main evaluation framework for information retrieval research.
The Cranfield experiments were extremely influential in the information retrieval field, itself a subject of considerable interest in the post-World War II era when the quantity of scientific research was exploding. It was the topic of continual debate for years and led to several computer projects to test its results.
Heting Chu (2010) classified the history and development of information representation and retrieval (IRR) in four phases. "The history of IRR is not long. A retrospective look at the field identifies increased demand, rapid growth, the demystification phase, and the networked era as the four major stages IRR has experienced in its development ...
Indexing and classification methods to assist with information retrieval have a long history dating back to the earliest libraries and collections however systematic evaluation of their effectiveness began in earnest in the 1950s with the rapid expansion in research production across military, government and education and the introduction of computerised catalogues.
Buckland studied the historical background of information retrieval in and before 1939 because the Memex was based on Bush's work during 1938–1940 in building a photoelectric microfilm selector, an electronic retrieval technology invented by Emanuel Goldberg for Zeiss Ikon in the 1920s. According to Buckland, the legacy of Bush is twofold: a ...
Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.
Temporal information retrieval (T-IR) is an emerging area of research related to the field of information retrieval (IR) and a considerable number of sub-areas, positioning itself, as an important dimension in the context of the user information needs.