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This is an accepted version of this page This is the latest accepted revision, reviewed on 13 November 2024. Portable Document Format, a digital file format For other uses, see PDF (disambiguation). Portable Document Format Adobe PDF icon Filename extension.pdf Internet media type application/pdf, application/x-pdf application/x-bzpdf application/x-gzpdf Type code PDF (including a single ...
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
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.
Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses. [2] As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see:
The global interpretation assumes that there exist some fixed set of underlying topics derived from inter-document similarity. These global clusters or their representatives can then be used to relate relevance of two documents (e.g. two documents in the same cluster should both be relevant to the same request). Methods in this spirit include:
Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. [1] Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based on their relevance to the query.