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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

    Following is an approach to determine and name degrees of relevance and how to utilize the results: Relevance level "High" – The highest relevance is objective information directly about the topic of the article. "John Smith is a member of the XYZ organization" in the "John Smith" article is an example of this.

  4. Template:Relevance and scope - Wikipedia

    en.wikipedia.org/wiki/Template:Relevance_and_scope

    Download as PDF; Printable version; ... This template shows project space pages to do with relevance and scope; mainly essays and policy pages. ... Wikipedia® is a ...

  5. Template:Relevance inline - Wikipedia

    en.wikipedia.org/wiki/Template:Relevance_inline

    Asks whether a claim made is relevant and encyclopedic Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status reason reason Adds additional text to the end of the text which appears in a tooltip when hovering over the "relevant?" text of the tag. String optional discuss discuss talk The name of the talk page section to ...

  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. Relevance (information retrieval) - Wikipedia

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

    Once relevance levels have been assigned to the retrieved results, information retrieval performance measures can be used to assess the quality of a retrieval system's output. In contrast to this focus solely on topical relevance, the information science community has emphasized user studies that consider user relevance. [3]

  8. Rocchio algorithm - Wikipedia

    en.wikipedia.org/wiki/Rocchio_algorithm

    The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System developed between 1960 and 1964. Like many other retrieval systems, the Rocchio algorithm was developed using the vector space model.

  9. Wikipedia:Citation needed - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Citation_needed

    Template:More citations needed for an article (rather than an individual statement) that has some citations, but not enough. Template messages – Sources of articles; Inline verifiability and sources cleanup templates; Wikipedia:Verification methods – listing examples of the most common ways that citations are used in Wikipedia articles