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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 ...
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]
Relevance level "Lower" – Information that is "twice removed" should usually not be included unless the other considerations described above are unusually strong. For example, in the above "John Smith" article, "Murderer Larry Jones was also a member of the XYZ organization."
On Wikipedia, relevance is simply whether a fact is in the right article, based on whether it pertains to the article's subject. Usually this is obvious. Usually this is obvious. When not obvious, relevance is decided by the editors of the article, based on what is considered likely to be useful to readers.
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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 ...
2.1 Practical realities of "relevancy" in Wikipedia. 2.2 Guiding principles. 2.2.1 Content must be about the subject of the article.
English: Wikifunctions is a new project focused on writing and sharing code as part of the broader Abstract Wikipedia initiative. The second phase of research focused on feedback from programmers. The goal was to interview people who already knew how to code but did not think of themselves as professional developers.