Abstract
Information retrieval (IR) is concerned with identifying documents in a collection that a user in need of information will judge to be useful or relevant. We are generally provided with a description of the user’s information need, or query. We then select documents likely to be relevant by comparing the query with prestored document representations, and may, optionally, revise the query representation for subsequent retrieval. The retrieval process, then, involves query acquisition, document selection, and query revision. A document collection may include normal text documents (e.g., journal articles), but it may also include nontext materials (photographs, museum pieces, software modules, and so on). Information storage and retrieval is a central element of systems that support such functions as office automation, library automation, legal research, or software engineering. Research in IR spans many subdisciplines of computer and information science.
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