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From prasenjit mukherjee <>
Subject user behavior based Click thru prediction
Date Sat, 07 Nov 2009 07:43:36 GMT
I am trying to predict the probability of a user clicking on an ad
based on his past browsing behaviour. I have historical data of other
users past behavior along with their click through record.

I was thinking of using a semi-supervised ( unsupervised will be even
better ) sequence clustering technique ( like CRF, HMM etc. ) Just
curious, any work been done ( or discussed ) in this mailing list to
perform sequence clustering using temporal data.


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