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  2. Relevance feedback - Wikipedia

    en.wikipedia.org/wiki/Relevance_feedback

    Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially returned from a given query, to gather user feedback, and to use information about whether or not those results are relevant to perform a new query. We can usefully distinguish between three types ...

  3. Wikipedia:Relevance - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Relevance

    Relevance level "Medium" – Information that is "once removed" is less directly relevant, should receive a higher level of scrutiny and achieve higher levels in other areas (such as neutrality, weight and strength [further explanation needed] and objectivity of the material and sourcing) before inclusion, but may still may be sufficiently ...

  4. Wikipedia:Relevance emerges - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Relevance_emerges

    When not obvious, relevance is decided by the editors of the article, based on what is considered likely to be useful to readers. The give and take between editors functions as a social-engine for discerning relevance. Wikipedia policy maintains the health of that social engine but does not itself act as an engine for discerning relevance.

  5. Relevance (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Relevance_(information...

    The formal study of relevance began in the 20th century with the study of what would later be called bibliometrics. In the 1930s and 1940s, S. C. Bradford used the term "relevant" to characterize articles relevant to a subject (cf., Bradford's law). In the 1950s, the first information retrieval systems emerged, and researchers noted the ...

  6. Wikipedia:Relevance/Review A - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Relevance/Review_A

    2.1 Practical realities of "relevancy" in Wikipedia. 2.2 Guiding principles. 2.2.1 Content must be about the subject of the article.

  7. Query expansion - Wikipedia

    en.wikipedia.org/wiki/Query_expansion

    This is the so called pseudo-relevance feedback (PRF). [6] Pseudo-relevance feedback is efficient in average but can damage results for some queries, [7] especially difficult ones since the top retrieved documents are probably non-relevant. Pseudo-relevant documents are used to find expansion candidate terms that co-occur with many query terms. [8]

  8. Wikipedia : Where to get feedback on an article you've just ...

    en.wikipedia.org/wiki/Wikipedia:Where_to_get...

    Where to get feedback on a newly created article: if you've just created an article and would like feedback on it, this is the page for you. First, you should not normally request feedback on an article within the first 24 hours after its creation. Most new articles are routinely vetted by volunteers within 24 hours; they will add suitable ...

  9. Wikipedia : Article Feedback/Help/Monitors

    en.wikipedia.org/wiki/Wikipedia:Article_Feedback/...

    The feedback form starts with a simple questions, then offers a comment box. The feedback form is a blue box at the bottom of Wikipedia articles, with a simple question: "Did you find what you were looking for?” and a comments box (see example above). For now, it is only available on a small test sample on the English Wikipedia.