Ben, is this what wikipedia does? Because they detect spam very quickly and I believe much of the detection is through bots. In any case, it is obvious to me that something like this is needed on OL. In fact, because it is wiki-like, there may be many things that can be learned from the wikipedia experience. Fortunately we don't have the same level of controversy to deal with -- mostly idiot spammers.
kc On 1/31/13 5:56 AM, Ben Companjen wrote: > 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/ > > > _______________________________________________ > Ol-tech mailing list > [email protected] > http://mail.archive.org/cgi-bin/mailman/listinfo/ol-tech > To unsubscribe from this mailing list, send email to > [email protected] > -- Karen Coyle [email protected] http://kcoyle.net ph: 1-510-540-7596 m: 1-510-435-8234 skype: kcoylenet _______________________________________________ Ol-tech mailing list [email protected] http://mail.archive.org/cgi-bin/mailman/listinfo/ol-tech To unsubscribe from this mailing list, send email to [email protected]
