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Download as PDF; Printable version; In other projects Appearance. ... This template shows project space pages to do with relevance and scope; mainly essays and policy ...
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 ...
Article feedback was found at the bottom of many Wikipedia articles; it is a simple form that readers can use to submit suggestions for improvement. (See screenshot below.) These suggestions are then reviewed by Wikipedia contributors, who can identify and take action on useful feedback -- while ignoring or removing bad submissions.
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 ...
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.
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.
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 ...
The information retrieval community has emphasized the use of test collections and benchmark tasks to measure topical relevance, starting with the Cranfield Experiments of the early 1960s and culminating in the TREC evaluations that continue to this day as the main evaluation framework for information retrieval research.