The project was developed by a researcher who works for the foundation California Aaron Halfaker , and basically aims to not scare absolutely anyone who wants to approach this volunteer work of content creator. The system uses a set of algorithms open source known as SciKit Learn to fathom damaging changes and separate from the changes produced by the well-meaning, even if they contain inaccuracies. Thus achieving a dual result: clean up the most consulted encyclopedia of the planet by the many imperfections and risks of hoaxes and complete falsehood and, on the other hand, groped to reverse the decline of the editor.
Ores, like all systems machine learning can learn from his mistakes, classifying the quality of your work and then establishing those produced in good faith or not. “The aggressive attitude that Wikipedia users to control the edits from the fact that they are not encouraged to have human .un’interazione with people” said Halaker. Ores will work initially in versions in English, Portuguese, turkish and be of Wikipedia. In short, in order to appreciate the results in Italian we will have to wait a bit ‘.
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