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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 ...
This is a goal statement intended to influence the application and evolution of policies, guidelines and editorial processes, not to restate current policies and guidelines. Material that is irrelevant or out of scope to an article's topic can unnecessarily bloat an article , making it difficult for a reader to remain focused, and can also give ...
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.
Its underlying assumption is that most users have a general conception of which documents should be denoted as relevant or irrelevant. [1] Therefore, the user's search query is revised to include an arbitrary percentage of relevant and irrelevant documents as a means of increasing the search engine 's recall , and possibly the precision as well.
2.2.1 Content must be about the subject of the article 2.2.2 Compelling argument can be made for its relevancy 2.2.3 Reach into minor details must be appropriate (serve the readers)
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You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
All of Wikipedia's content must be verifiable. The relevance of information is best demonstrated by the provision of reliable sources, and of suitable context. The bulk of Wikipedia's content consists of: Basic description – which explains what the subject is, what it does (or did), and what it is notable for.