Can you explain better what exactly you do? It seems that you use ML to pinpoint... | Hacker News

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		raverbashing on March 19, 2013 \| parent \| context \| favorite \| on: Announcing Sift Science: fight fraud with large-sc... Can you explain better what exactly you do? It seems that you use ML to pinpoint fraud (or better, undesired behaviour) in $WEBSITE. So that could be fraud detection because they login from one country, ship to another and buy a certain combination of items. Or that could be "spam fighting" because they create an account with X and Y characteristics and post similar things. Am I right in my perception? (and you could use this not only for 'bad behaviour' but for good behaviour as well)

brandonb on March 19, 2013 [–]

You're right on. In theory, you could train our system to recognize good behavior if you sent us enough $label events, but most of the patterns we have today are really optimized around detecting bad behavior.

sdepablos on March 21, 2013 | [–]

Could you develop a little more how duplicate accounts could be detected?

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