Re:Company withdrawing from Facebook as analytics show 80% o...
by nikcub on Tuesday July 31, 2012 @01:06AM
(#4315816)
This sounds like a problem that should be addressed with machine learning and AI rather than the wack-a-mole style of matching strings.
Separate out and distinguish possible humans from possible bots using a set of known humans and known bots.
Assign a human likelihood probability to each user and pay out the click based on the probability.
for eg. this user is 90% likely human, therefor the cost of the 20 cent ad click is 18 cents.
This doesn't have to wait on Facebook, somebody could build this as a third-party app and then send refund requests to Facebook on clicks that are likely bots.
Separate out and distinguish possible humans from possible bots using a set of known humans and known bots.
Assign a human likelihood probability to each user and pay out the click based on the probability.
for eg. this user is 90% likely human, therefor the cost of the 20 cent ad click is 18 cents.
This doesn't have to wait on Facebook, somebody could build this as a third-party app and then send refund requests to Facebook on clicks that are likely bots.