From: clearking@gmail.com   
      
   On Oct 18, 7:49 am, Ted Dunning  wrote:   
   > With web sessions, the best proximity data you can get (in my opinion)   
   > is derived by building user or session models and then seeing how well   
   > the model predicts other sessions.  Depending on the cardinality of   
   > your event set, you may need to use a latent variable model to deal   
   > with sparsity.  If you have only a few (hundreds, say) pages that all   
   > get pretty good traffic then you may be able to model their visits   
   > explicitly.  There are many forms of latent models possible, but the   
   > latent Dirichlet work on hidden Markov models for text clustering   
   > might be of particular interest to you.   
   >   
      
   thanks a lot. i searched the Dirichlet method but i couldn't find the   
   foundation works introducing the method. any good papers to recommend?   
      
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