Full Text Search

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A Full Text Search is a information retrieval task that examines all of the words in an entire text document or database.



References

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  • (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Full-text_search Retrieved:2017-8-3.
    • 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).

      In a full-text search, a search engine examines all of the words in every stored document as it tries to match search criteria (for example, text specified by a user). Full-text-searching techniques became common in online bibliographic databases in the 1990s. Many websites and application programs (such as word processing software) provide full-text-search capabilities. Some web search engines, such as AltaVista, employ full-text-search techniques, while others index only a portion of the web pages examined by their indexing systems. [1]

  1. In practice, it may be difficult to determine how a given search engine works. The search algorithms actually employed by web-search services are seldom fully disclosed out of fear that web entrepreneurs will use search engine optimization techniques to improve their prominence in retrieval lists.

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