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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 ...
In addition, any article that has the feedback form on it will also have a link at the top of the article's talk page, as seen on the right. Clicking on this will show feedback for just that article. When you get to a feedback page, you will be presented with a stream of reader-submitted suggestions.
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.
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.)
For example if the article is on a new car, you could ask for help on the talk page of the car manufacturer's article. If you can find no obviously related article, you can try asking for help at a relevant wikiproject. Above all, don't rush: Rome wasn't built in a day, and there's no reason any article should be. In many cases other editors ...
The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System developed between 1960 and 1964. Like many other retrieval systems, the Rocchio algorithm was developed using the vector space model .
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