How about using decision tree learning or sequential pattern mining? Any thoughts?
Thanks, Nishant On Wed, Jan 4, 2012 at 1:25 PM, Ted Dunning <[email protected]> wrote: > On Tue, Jan 3, 2012 at 11:15 PM, Nishant Chandra > <[email protected]>wrote: > >> As for my use case and as Manuel pointed out is this: >> >> a. Given a set of page views happening in real time, will the visitor >> view another page on the site or will the visitor leave or is he >> comparing prices or just researching? The intention is what I want to >> capture. Building the model offline sounds like the right approach. >> > ... > > To solve a), is HMM the right approach? > > > It is a plausible approach. But not the only one. It is attractive in > that it tries to model intent. > > You might also look at something like a latent log-linear model. That > would allow you to model per user bias in intent. > > >> b. Given a set of page views, which product brand will the visitor >> view in the remainder of the session? This is an addon and I would >> like to explore it. >> > > This is a reasonable task for recommendation engines.
