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Just to use it as an example, StackOverflow users already associated tags to questions for a lot of questions.

Is there a .NET machine learning library that could use this historic data to 'learn' how to associate tags to newly created questions and suggest them to the user?

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I made a machine learning library that might help: http://machine.codeplex.com. Its basic premise is that you simply will use straightforward lists of POCO objects and make models from them by expanding upon the categories.

--- Update I've since moved the project here: http://numl.net.

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