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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 ...
Its purpose is to help editors improve the article based on reader feedback. To see the feedback page for this test sample, click on “Talk” at the top of the article page; then click on “View reader feedback” at the top of the talk page. For example, take a look at the feedback page for the Golden-crowned Sparrow. (Tech note: feedback ...
"John Smith is a member of the XYZ organization" in the "John Smith" article is an example of this. 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 ...
You can view feedback in a number of places: This central feedback page for all of Wikipedia; This sample article feedback page; On other articles with feedback, (Look for a link on these article talkpages to see feedback. Note that only about 10 percent of articles have feedback so far.)
Its purpose is to help editors improve the article based on reader feedback. To see the feedback page for this test sample, click on “Talk” at the top of the article page; then click on “View reader feedback” at the top of the talk page. For example, take a look at the feedback page for the Golden-crowned Sparrow.
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.
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 ...
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 ...