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. -Thanks, Prasen
