Hi all, Last night I wrote down [1] some ideas for learning to detect "bad" (and good) edits. They're not brilliant or new, but hopefully inspiring to anyone thinking of building some sort of bot to learn how (not) to edit the catalogue. I'm envisioning semi-autonomous bots that suggest corrections and in the long run fully autonomous bots to do repetitive editing tasks
It's really useful that the complete history is available. Machine learning algorithms can use it to find patterns of bad edits to revert (or even stop from happening) and good edits that can be applied to other records. Has anyone ever tried to apply machine learning to OL? Any comments? Ben [1] http://ben.companjen.name/2013/01/finding-bad-edits-in-the-open-library-catalogue-ideas/
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