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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]
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.
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What links here; Upload file; Special pages; Printable version; Page information; Get shortened URL; Download QR code
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 ...
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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related to: wikipedia relevance feedback statement pdf form 1 765