4 ms·
Worth a try in the name of science, but I'm pessimistic about the ability of machine learning to measure subjective "quality" of a question. In the best case y
by codinghorror 14y ago
Worth a try in the name of science, but I'm pessimistic about the ability of machine learning to measure subjective "quality" of a question.
In the best case you'll end up with a txtspeak and Proper English detector. But I knew that already.
- DanBC 14y agoI'd be interested to see if there's any predictors for "good quality" questions vs anything else. Some research project for students, perhaps. I remember reading something about telling the difference between truthful and fake reviews. (http://cornellsun.com/section/news/content/2011/09/23/cornell-researchers-work-spot-fake-reviews http://cornellsun.com/section/news/content/2011/09/23/cornel...) There's more literature in this paper. (http://www.cs.uic.edu/~liub/publications/WWW-2012-group-spam-camera-final.pdf http://www.cs.uic.edu/~liub/publications/WWW-2012-group-spam...)
- mmcnickle 14y agoI think a useful metric will be the time-to-first-answer and rate of submitted answers. These will be the answers to badly-researched questions á la "How do I get all the buttons on this page?[jQuery]". Unfortunately, that is a post-question signal, and won't be able to be used in the context of the competition.